La adenda al Protocolo de Montreal: un paso más en la lucha contra el cambio climático
Bibliographic record
Abstract
espanolEl sabado 15 de octubre de 2016, los 197 paises que forman parte del Protocolo de Montreal dieron un importante paso en la lucha contra el cambio climatico al firmar una adenda al mismo. En ella se establece el compromiso de disminuir las emisiones de un grupo de gases de efecto invernadero denominados hidrofluorocarbonos (HFCs). Este acuerdo ha de entenderse como un esfuerzo de toda la comunidad internacional, que se va a llevar acabo, una vez mas, bajo el principio de responsabilidad global pero diferenciada EnglishOn Saturday October 15, 2016, 197 Parties of the Montreal Protocol adopt an important deal in the fight against climate change. They reached a legally binding accord by signing an addendum to reduce emissions from a group of gases called greenhouse hidroflurorocarbonos (HFCs). This agreement has to be understood as an effort by the international community under a common but differentiated responsibility
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".