{"id":"W2134304493","doi":"10.1093/icesjms/fsn081","title":"Prerecruit survival and recruitment of northern Gulf of St Lawrence Atlantic cod","year":2008,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Atlantic cod; Fishery; Stock assessment; Oceanography; Stock (firearms); Cod fisheries; Environmental science; Fish <Actinopterygii>; Biology; Geography; Gadus; Fishing; Geology","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":[0.0008248932,0.0002468007,0.0002050519,0.0002590016,0.0003137693,0.0004607199,0.0003641142,0.0002966438,0.001708678],"category_scores_gemma":[0.002787504,0.0001521997,0.0002974379,0.0001884103,0.0002807859,0.0002740193,0.0003540569,0.0002771885,0.0003655752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365692,"about_ca_system_score_gemma":0.001106025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2498573,"about_ca_topic_score_gemma":0.4181811,"domain_scores_codex":[0.999863,0.00002736065,0.00001045211,0.00003909311,0.00002515793,0.0000348911],"domain_scores_gemma":[0.9987219,0.0003889095,0.0003801548,0.00009667341,0.0001975946,0.0002147343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560882,0.00005023903,0.9945709,0.000008815109,0.00003644873,0.00005512534,0.0001226971,0.001334888,0.0005671919,0.00006576696,0.0002611274,0.002770656],"study_design_scores_gemma":[0.000005842522,0.00006365159,0.9961312,0.000008000065,0.00001073327,0.00002658806,0.0001562429,0.003225518,0.0001150408,0.000048642,0.0002031378,0.000005374889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999514,0.00003723529,0.00006010598,0.00003032791,0.000001624974,0.00000132317,0.0001457411,0.000003088621,0.0002064683],"genre_scores_gemma":[0.998725,0.00003485186,0.00009273703,0.00001470876,0.000002027952,0.000003375576,0.0003231862,0.000001932402,0.0008021815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7501427,"threshold_uncertainty_score":0.496806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191700391002892,"score_gpt":0.2926583215767511,"score_spread":0.2307413176667222,"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."}}