VARIATION IN EARLY LIFE-HISTORY CHARACTERISTICS OF SYMPATRIC RAINBOW SMELT POPULATIONS IN LAKE UTOPIA, NEW BRUNSWICK
Bibliographic record
Abstract
ii ACKNOWLEDGMENTS iii TABLE OF CONTENTS iv LIST OF FIGURES vi 1 GENERAL INTRODUCTION 1 1.1 Life-History Variation 1 1.2 Evolutionary Significance of Size and Growth 3 1.3 Rainbow Smelt Biology 4 1.4 Life-history Variation in Rainbow Smelt 5 1.5 Ecology of Morphotypes 6 1.6 Genetics 8 1.7 Species At Risk Designation 9 1.8 Research Objectives and Thesis Outline 9 2 METHODS 11 2.1 Study Area 11 2.2 Early Life-History Characteristics 12 2.3 Growth 14 2.3.1 Field Sampling 14 2.3.2 Otolith Microstructure Procedure 15 2.4 Statistical Analysis 18 3 RESULTS 23 3.1 Early Life-History Characteristics 23
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".