Population and Habitat Characteristics of the Pugnose Shiner, Notropis anogenus, in Four Bays of Lake Ontario and the St. Lawrence River, New York
Bibliographic record
Abstract
The goal of our project was to better understand taxa (fish, submerged aquatic vegetationSAV) and physicochemical factors (PCF) associated with the pugnose shiner Notropis anogenus \nin three bays of Lake Ontario (Sodus) and the St. Lawrence River (Chippewa, Goose) and, using \nthis information, to assess the suitability of an unoccupied bay (Chaumont, Lake Ontario) for \nestablishing a new population by stocking. Our specific objectives were to 1) collect data on the \nfish communities, SAV, substrate composition and PCF in the four bays, 2) determine population \nand habitat characteristics of extant N. anogenus in Chippewa, Goose and Sodus Bays, and 3) \ndetermine fish, SAV and PCF characteristics in Chaumont Bay then compare them to actual N. \nanogenus habitat in Chippewa, Goose and Sodus Bays.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".