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Record W7100226833

www.ruaf.org Rooftop Agriculture in a Climate Change

2014· article· en· W7100226833 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Heat Island Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureClimate changeUrban agricultureUrban heat islandMicroclimateProduction (economics)Food systems
DOInot available

Abstract

fetched live from OpenAlex

Rooftop agriculture is the production of fresh veg-etables, herbs, fruits, edible flowers and possibly some small animals on rooftops for local consump-tion. Productive green roofs combine food produc-tion with ecological benefits, such as reduced rain-water run-off, temperature benefits such as poten-tial reduction of heating and cooling requirements (resulting in reduced emissions), biodiversity, improved aesthetic value and air quality. Three primary\ttypes\tof\tfood-producing\tgreen\troofs can be\tdistinguished:- Agricultural\tgreen\troofs\tor\tdirect-producing\tgreen\troofs on which\tcrops\tare\tdirectly\tgrown\tin\t(shallow)\t beds\tin\ta soil-based growing\tmedium\tthat\t is\tpossibly\tplaced\ton Rooftop garden in Toronto, Canada Photo: Joe Nasr top of\ta\twaterproof\tmembrane\tor\tadditional\tlayers\tsuch

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.322
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.6780.421

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.209
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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