Chapter 1. Embedding anchovy survival in the environment with a dual time resolution : A bayesian state-space size-structured population dynamics model
Bibliographic record
Abstract
Este archivo contiene el resumen de la tesis; la “Introducción general”; los objetivos generales y específicos, diferenciados por capítulos, y el capítulo 1.\n<br>En tal capítulo se desarrolla un nuevo modelo bayesiano para la anchoa en el golfo de Cádiz. Dicho modelo forma parte de esta tesis y fue aceptado para su publicación en el Canadian Journal of Fisheries and Aquatic Sciences. Es un modelo con resolución temporal semanal para las primeras etapas vitales, y mensual para juveniles y adultos que incorpora la influencia del medio ambiente para etapas tempranas y una estructura de crecimiento que permite estimar la distribución mensual de tallas. Este modelo, además, provee una distribución mensual de las capturas a partir de los parámetros estimados, lo que permite simular series temporales y comparar como se comportarían las capturas usando diferentes estrategias de pesca para diseñar una que sea óptima. \n<br>Texto tomado y adaptado de la “Introducción general” de esta tesis.\n
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".