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Record W2737363209

Gilberto Esparza : Plantas Autofotosintéticas

2017· book· fr· W2737363209 on OpenAlexaboutno aff
Nuria Carton de Grammont, Véronique Leblanc, Ariane De Blois

Bibliographic record

VenueGalerie de l'UQAM eBooks · 2017
Typebook
Languagefr
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyWork (physics)ConsciousnessArchitectural engineeringEnergy (signal processing)EngineeringSociologyPsychologyElectrical engineeringMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Both functional and utopian, the work produces an alternative and renewable source of energy by processing the contaminants found in sewage, while offering alternative ways to envision the city’s future. As Montreal celebrates its 375th anniversary, this installation invites us to reconsider the city’s criss-crossing network of underground sewer systems, normally hidden from view and beyond public consciousness, as an energy-generating structure that can feed and maintain a living ecosystem. -- Publisher's website.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0730.020

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 head0.030
GPT teacher head0.242
Teacher spread0.211 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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