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Demo Mode — search results and model generations are fixtures, not live research.
IsThisOriginal
Fixture evidenceConfidence: lowScoring v1.0.0Completed 15 Jan 2026, 09:04

Is this original?

Within the sources searched and model samples generated, the central position is already stated in the sources examined, but its proposed mechanism is close to accounts already in circulation.

Originality Estimate

43/100

Weighted heuristic over search deviation, model rarity, structural novelty, consequential difference and specificity.

Qualified Originality

37/100

Estimate × coherence 0.889 × testability 0.955.

Confidence

low

Coverage was thin, or this run used fixtures. Treat the numbers as indicative only.

Every score here is a heuristic estimate over the evidence this run examined. None of them is evidence that the idea has never appeared before.

Summary

This analysis compared the submission against 58 retrieved sources and 60 base-model samples. The Originality Estimate of 43/100 is driven mainly by how readily ordinary search surfaces adjacent material. Qualified Originality (37/100) applies coherence and testability as dampeners: an unusual idea that cannot be tested is reported as unusual, not as promising. Confidence is low. This run used fixtures, so confidence is capped at low regardless of what the numbers suggest. None of this establishes that the idea has never appeared before. It describes where the idea sits relative to the evidence this run examined.

Where the originality sits

Each facet blends its public-search deviation with its model-baseline rarity.

Position45
Mechanism11
Combination69
Prediction58
Consequence46

Model-accessibility level, by facet

The cheapest prompt tier at which the baseline reached each facet.

Central position
0
1
2
3
4
5
Proposed mechanism
0
1
2
3
4
5
Conceptual combination
0
1
2
3
4
5
Predictions
0
1
2
3
4
5
Practical consequences
0
1
2
3
4
5
0
Produced directly by a basic prompt
1
Produced through repeated basic sampling
2
Produced only after requesting unconventional alternatives
3
Produced only through multi-step reasoning
4
Reconstructable only after supplying key assumptions
5
Not produced within the tested baseline

No sample in this baseline produced it. That is a statement about these samples, not about the model's knowledge.

All scores

Position originality

45

Higher = the central claim was harder to reach.

Mechanism originality

11

Higher = the proposed pathway was harder to reach.

Conceptual-combination originality

69

Higher = this pairing of concepts was harder to reach.

Prediction originality

58

Higher = the predictions were harder to reach.

Practical-consequence originality

46

Higher = the consequences drawn were harder to reach.

Search accessibility

95

Higher = ordinary web search finds this idea more easily.

Model accessibility

31

Higher = ordinary prompting reproduces this idea more easily.

Coherence

63

Higher = the argument follows from its premises.

Specificity

88

Higher = more concrete, quantified and less hedged.

Testability

85

Higher = easier to falsify with a feasible study.

Evidential grounding

61

Higher = better anchored in checkable evidence.

Show the arithmeticevery term that produced the Originality Estimate

Originality Estimate

TermValueWeightContribution
Model-baseline rarity6925%17.25
Specificity8810%8.80
Public-search deviation530%1.50
Mechanism & structural novelty4020%8.00
Consequential difference5215%7.80
Originality Estimate43

Qualified Originality

43 × 0.889 × 0.955 = 37

Each factor is 0.70 + 0.30 × (score / 100), so coherence and testability can dampen the estimate by at most 51% combined — never erase it.

Per-facet derivation

FacetSearch suppressionSearch originalityModel rarityLevelBlended
Central position0.95595545
Proposed mechanism0.95519111
Conceptual combination0.534795569
Predictions0.267439258
Practical consequences0.95595546

Blended = 0.55 × search originality + 0.45 × model rarity. Search suppression is a rank-decayed noisy-OR over the relation strength of every source that matched the facet, so one decisive match saturates while many weak ones accumulate slowly.

Coverage behind the confidence level

Queries planned
14
Queries succeeded
14
Sources examined
58
Distinct domains
11
Baseline samples requested
60
Baseline samples completed
60

Caveats recorded at scoring time

  • Demo Mode: scores are computed from fixture evidence, not from live search or live model sampling.

Idea fingerprint

Central position
Street-tree cooling in dense cities is driven mainly by shading building facades and suppressing night-time longwave re-radiation in street canyons, not by evapotranspiration.
Proposed mechanism
A shaded facade absorbs substantially less solar energy during the day, so it stores less heat and re-emits less longwave radiation into the canyon after sunset; the canopy's effect on air temperature is therefore mediated by the building surface rather than by moisture flux.
Conventional position modified or rejected
Urban tree cooling is primarily attributed to evapotranspiration, with shading treated as a secondary daytime contribution.
Concepts connected
urban heat island · street canyon geometry · longwave radiation budget · tree canopy cover · facade thermal mass
Assumptions
Facade thermal mass is a large enough share of canyon heat storage to dominate the night-time budget. · Transpiration rates in street conditions are low enough not to offset the facade effect. · Canyon geometry can be measured accurately enough to target planting by it.
Predictions
Night-time cooling should scale with shaded facade area rather than with leaf area. · Narrow east-west corridors should show larger 3am temperature reductions than equivalent canopy added to open parkland. · The difference should be on the order of 1-2 degrees Celsius at 3am over a summer.
Practical consequences
Planting programmes budgeted by canopy percentage would systematically underperform ones targeted at canyon geometry. · Cooling benefit estimates derived from leaf-area indices would be biased in dense districts.
Recommended action
Authorities should prioritise planting on narrow east-west streets over expanding open parkland where night-time heat is the binding constraint.
Domain
urban climate

This fingerprint was edited by the submitter before the analysis ran.

Closest public-search matches

Essentially identical

urban heat island street canyon geometry: the position stated and defended

conference-proceedings-track-b.fixtures.isthisoriginal.example · label confidence 0.82

The source advances the same position and the same proposed pathway, with a comparable practical recommendation. Its evidence is preliminary and single-site, which limits how much weight this match should carry.

Essentially identical

urban heat island street canyon longwave: the position stated and defended

conference-proceedings-track-b.fixtures.isthisoriginal.example · label confidence 0.81

The source advances the same position and the same proposed pathway, with a comparable practical recommendation. Its evidence is preliminary and single-site, which limits how much weight this match should carry.

Open the evidence explorer →

Closest model-generated matches

Proposed mechanismLevel 0partial overlap

The dominant explanation is a straightforward resource constraint: the observed effect scales with how much of the input is available, and most of the variation between cases is explained by that alone.

A baseline cluster covers part of this facet but omits its specific commitment (similarity 0.52).

PredictionsLevel 1partial overlap

The usual explanation is historical path dependence: early choices locked in a configuration that is now costly to change, and the present pattern is largely inherited rather than chosen.

A baseline cluster covers part of this facet but omits its specific commitment (similarity 0.47).

Proposed mechanismLevel 3partial overlap

The unexpected consequence is that the most-funded interventions would be among the least effective, because they scale the wrong quantity.

A baseline cluster covers part of this facet but omits its specific commitment (similarity 0.61).

Proposed mechanismLevel 3partial overlap

If that holds, the practical consequence is that interventions should be targeted at the configuration rather than the total, which inverts the usual prioritisation.

A baseline cluster covers part of this facet but omits its specific commitment (similarity 0.55).

PredictionsLevel 3partial overlap

If that holds, the practical consequence is that interventions should be targeted at the configuration rather than the total, which inverts the usual prioritisation.

A baseline cluster covers part of this facet but omits its specific commitment (similarity 0.45).

Open the baseline explorer →

Established elements

  • The subject matter itself — urban heat island and street canyon geometry — is well covered in the retrieved sources.
  • A retrieved source states substantially the same position: "urban heat island street canyon geometry: the position stated and defended".

Uncommon elements

  • The particular combination of concepts was not found stated together in the sources examined.
  • The predictions drawn are more specific than those the baseline produced.

Potentially original relationships

  • The link between urban heat island and street canyon geometry via the stated mechanism was not found asserted in this form.

Unsupported assumptions

  • Facade thermal mass is a large enough share of canyon heat storage to dominate the night-time budget.
  • Transpiration rates in street conditions are low enough not to offset the facade effect.
  • Canyon geometry can be measured accurately enough to target planting by it.

Suggested tests

  • Design an observation that separates the proposed mechanism from the conventional account: find cases where the two predict opposite outcomes, and measure which occurs.
  • Operationalise the stated prediction (Night-time cooling should scale with shaded facade area rather than with leaf area.) into a measurable quantity with a pre-registered threshold for what would count as disconfirmation.
  • Identify a setting where the recommended action and the conventional action diverge, and compare outcomes there rather than on average.
  • Search for the specific combination — urban heat island + street canyon geometry + longwave radiation budget — in sources this analysis did not cover: paywalled journals, books, non-English literature, and patents.

Search limitations

  • This run used fixture search results, not a live web search. The sources listed are illustrative examples on a reserved example domain and are not real publications.
  • Paywalled journals, books, theses, patents, internal documents, conference talks and private correspondence were not searched.
  • Non-English sources were not searched unless a query happened to surface one.
  • Only the excerpt each result returned was read. A source whose relevant argument sits outside its excerpt would be under-weighted.
  • Absence of a match is weak evidence. It means these queries did not surface a prior statement, not that none exists.

Model-sampling limitations

  • This run used fixture model generations, not live sampling. The baseline is a scripted stand-in that reproduces the shape of a real one.
  • Level 5 means a facet was not produced during this analysis. It is not evidence that the model could not produce it — with different prompting, more samples, or a larger model, it might.
  • The prompts are deliberately ordinary. A skilled prompter working deliberately toward this idea would very likely reach it sooner than this ladder suggests.
  • Sampling is stochastic. Re-running the baseline would produce a partly different set of claims.
  • Claims were clustered using a deterministic local embedding, not a trained embedding model. That groups near-identical phrasings reliably but will miss paraphrases that share no vocabulary.

Analysis provenance

{
  "mode": "demo",
  "note": "Seeded example. Produced by running the real pipeline over fixture providers.",
  "search": {
    "provider": "fixture",
    "isFixture": true,
    "uniqueDomains": 11,
    "queriesPlanned": 14,
    "resultsExamined": 58,
    "queriesSucceeded": 14
  },
  "baseline": {
    "model": "fixture-baseline-v1",
    "provider": "fixture",
    "completed": 60,
    "requested": 60
  },
  "narrative": {
    "model": null,
    "provider": "fixture"
  },
  "embeddings": {
    "model": "deterministic-local-v1",
    "isLearnedModel": false
  },
  "generatedAt": "2026-01-15T09:00:00.000Z",
  "scoringVersion": "1.0.0",
  "analysisStartedAt": "2026-01-15T09:00:00.000Z",
  "analysisCompletedAt": "2026-01-15T09:04:00.000Z"
}
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