{"id":"W7086631928","doi":"","title":"Life in the fast lane: Revisiting the fast growth—High survival paradigm during the early life stages of fishes","year":2023,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Victoria; Fisheries and Oceans Canada; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Population; Predation; Selection (genetic algorithm); Autocorrelation; Population growth; Distribution (mathematics); Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01658334,0.0006035917,0.0009870441,0.002783433,0.00171696,0.003379128,0.00387339,0.001673433,0.001463015],"category_scores_gemma":[0.01526815,0.0002959221,0.00103366,0.001835139,0.01171808,0.007359696,0.003752979,0.004480585,0.0004834212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852603,"about_ca_system_score_gemma":0.003709351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011843,"about_ca_topic_score_gemma":0.01245034,"domain_scores_codex":[0.9955058,0.002498785,0.0003565279,0.0009314673,0.0005094726,0.0001979594],"domain_scores_gemma":[0.9901648,0.005277188,0.001322147,0.0008648003,0.001588989,0.0007820543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006155077,0.0002452075,0.1736227,0.002438042,0.0003999568,0.002477717,0.01404019,0.01555919,0.007237183,0.5071972,0.01492086,0.2612462],"study_design_scores_gemma":[0.00006253078,0.0005919454,0.1681752,0.001326649,0.0002480801,0.00195268,0.00773948,0.03978652,0.001459092,0.7115,0.06682577,0.0003320001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.47518,0.05905683,0.2161224,0.2173067,0.005578463,0.0001889123,0.001083396,0.000267536,0.02521561],"genre_scores_gemma":[0.9374493,0.01512283,0.02678952,0.01433182,0.003546201,0.0001811332,0.0002797199,0.0001086419,0.002190724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658334,"threshold_uncertainty_score":0.0877021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679502915342468,"score_gpt":0.2925236525910847,"score_spread":0.25572862343766,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}