{"id":"W4391687038","doi":"10.1111/jfb.15677","title":"Reduction in size‐at‐maturity in unprecedentedly strong cohorts of redfish (<i>Sebastes mentella</i> and <i>S. fasciatus</i>) in the Gulf of St. Lawrence and Laurentian Channel","year":2024,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Sebastes; Biology; Fishery; Stock assessment; Scorpaenidae; Biomass (ecology); Rockfish; Population; Maturity (psychological); Ecology; Fish <Actinopterygii>; Fishing; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002829862,0.000139772,0.00008812164,0.0005252783,0.000174822,0.0002497113,0.0001760178,0.0001313745,0.00045278],"category_scores_gemma":[0.0002970984,0.0001170105,0.000199744,0.0002420334,0.0002538133,0.0003151366,0.0002800924,0.0001644211,0.0001012338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336675,"about_ca_system_score_gemma":0.0004511407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007991267,"about_ca_topic_score_gemma":0.03544972,"domain_scores_codex":[0.9999135,0.000006453287,0.000008595627,0.00003210076,0.00002694301,0.00001240882],"domain_scores_gemma":[0.9996973,0.00002129609,0.0001574551,0.00001414266,0.00007517738,0.00003459589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002170325,0.00002983538,0.8231978,0.0004245806,0.00009490792,0.0004329633,0.0005435343,0.0003313847,0.113534,0.0001528761,0.0005239911,0.060517],"study_design_scores_gemma":[0.000002470142,0.0001105877,0.9927898,0.00002153361,0.0000388338,0.0002488763,0.0002311704,0.00008966447,0.004678901,0.00002790641,0.001752625,0.000007602067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965404,0.001790343,0.0004870439,0.00003997072,0.000009038947,0.00001090481,0.0003454887,0.00001539997,0.0007613749],"genre_scores_gemma":[0.9948176,0.001694959,0.001386902,0.00005886273,0.000007847046,0.00001866598,0.0006261649,0.000006235339,0.001382763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920087,"threshold_uncertainty_score":0.01588947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172269520741572,"score_gpt":0.2541781850198711,"score_spread":0.2424554898124553,"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."}}