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Record W7112037677

La costa de Vilanova i la Geltrú, declarada primer Hope Spot de la península

2024· other· ca· W7112037677 on OpenAlexaboutno aff

Bibliographic record

VenueUPCommons institutional repository (Universitat Politècnica de Catalunya) · 2024
Typeother
Languageca
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)GermanSanderPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

Les aigües costaneres de Vilanova i la Geltrú han estat reconegudes com el primer ‘punt d’esperança marina’ ('Hope Spot', en anglès) de la península per part de la fundació Mission Blue, fundada per la biòloga i oceanògrafa Sylvia Earle. En un projecte pioner, el Laboratori d’Aplicacions Bioacústiques (LAB) de la UPC estudiarà i farà el seguiment de rorquals comuns i altres espècies marines en aquest entorn, mitjançant tecnologia innovadora no invasiva. Entrevistem Sylvia Earle, doctora honoris causa per la UPC i fundadora de @Mission_Blue , el professor Michel André, director del LAB , fundador i president de la Fundació @Thesenseofsilence , i la directora de la @upcVilanova Marisa Zaragozá, que han estat reconeguts com a Champions Hope Spot.

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 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 score0.186
Threshold uncertainty score0.624

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 studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1860.054

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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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
Published2024
Admission routes1
Has abstractyes

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