Bibliographic record
Abstract
Le rechauffement climatique occasionnera une remontee du niveau des oceans due a la fonte des glaciers. Par contre, le niveau des Grands Lacs devrait diminuer a cause du phenomene d’evaporation. Cette decrue sera plus evidente entre Montreal et la decharge du lac Saint-Pierre. En amont, la presence de barrages maintient le niveau de l’eau. En aval du lac Saint-Pierre, c’est la remontee du niveau des oceans qui se fera sentir. Le lac Saint-Pierre, qui est peu profond, risque de s’assecher davantage, ce qui entrainera une perte importante de milieux humides. Cet appauvrissement des habitats provoquera une chute de la biodiversite. La qualite de l’eau diminuera en meme temps que la disparition des milieux humides car les plantes aquatiques ne seront plus la pour jouer leur role de filtration. De plus, un moins grand volume d’eau est plus affecte par des apports de substances polluantes. La perte de ressources fauniques affectera la pratique de la chasse et de la peche. Le niveau d’eau trop bas reduira de beaucoup la pratique de sports nautiques et la navigation de plaisance. Durant l’hiver, on observera plus frequemment des crues. Celles-ci se caracterisent par des mouvements de glaces plus epaisses qui ont un effet erosif plus important sur les berges. Cette erosion emportera plus de sediments dans le lac qui finiront par l’envaser completement ne laissant que le chenal maritime entretenu pour la navigation commerciale.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".