{"id":"W2055675565","doi":"10.1111/j.1365-2419.2005.00326.x","title":"Incorporating an environmental stock–recruitment relationship in the assessment of Pacific cod (<i>Gadus macrocephalus</i>)","year":2005,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Fishing; Gadus; Stock (firearms); Oceanography; Fishery; Environmental science; Atlantic cod; Pacific ocean; Productivity; Geography; Biology; Geology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007912383,0.0002191229,0.0002116535,0.0001167543,0.0002627088,0.00008491486,0.0005698515,0.00009334719,0.003103248],"category_scores_gemma":[0.00001945639,0.0001757692,0.0001097742,0.0007081071,0.0005999219,0.0007127102,0.0002439152,0.0003814376,0.00002287455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371452,"about_ca_system_score_gemma":0.00001965765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006502779,"about_ca_topic_score_gemma":0.0003399578,"domain_scores_codex":[0.9976626,0.000305295,0.0004819225,0.0003869757,0.0007657112,0.0003974892],"domain_scores_gemma":[0.999041,0.0001336931,0.0001715021,0.0005444904,0.000006131905,0.0001031726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002893887,0.0003785895,0.9844218,0.000009447161,0.000009732167,0.000006078669,0.001446614,0.00008081537,0.0002004443,0.0001922341,0.001452105,0.01177315],"study_design_scores_gemma":[0.0004113059,0.0003248266,0.9123893,0.000004904037,0.000009810798,0.000008350433,0.002847183,0.001160013,0.00006245021,0.0004227698,0.08214658,0.0002124995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843026,0.00001854726,0.0001165311,0.0008323659,0.00004372275,0.0008411597,0.00004207961,0.00003140296,0.1137716],"genre_scores_gemma":[0.9945886,0.00003954447,0.004567894,0.0001828465,0.00004892674,0.000148017,0.0001296182,0.00002124714,0.0002733031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134983,"threshold_uncertainty_score":0.997808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122130702333539,"score_gpt":0.2877691589629889,"score_spread":0.2465478519396535,"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."}}