{"id":"W7133269156","doi":"","title":"Western Component Pollock MSE, Stock Status, and Advice","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Dartmouth College","keywords":"Pollock; Groundfish; Fishing; Stock (firearms); Population; Stock assessment; Fisheries management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592708,0.0001537209,0.0002389312,0.001445831,0.0003514522,0.0005779248,0.0005010231,0.0003414138,0.01488054],"category_scores_gemma":[0.009149902,0.00007268051,0.0003044275,0.000606342,0.0001043635,0.0005682652,0.0003704692,0.0003980561,0.002627101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839383,"about_ca_system_score_gemma":0.001793507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03630817,"about_ca_topic_score_gemma":0.09614029,"domain_scores_codex":[0.9992812,0.00009930281,0.0001873066,0.00006131612,0.0002855417,0.00008531871],"domain_scores_gemma":[0.9975498,0.0002472621,0.0003415182,0.00006759189,0.001495063,0.0002987728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001761559,0.0001607955,0.417031,0.0006773429,0.00005983157,0.0002031138,0.000449374,0.0003954359,0.0002433591,0.001390469,0.1835889,0.3956242],"study_design_scores_gemma":[0.00005058631,0.0003503609,0.6203336,0.00420411,0.0001658883,0.0009666702,0.001943327,0.001154438,0.0005265432,0.001350117,0.3689042,0.00005029174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4634956,0.03413652,0.006899273,0.02492778,0.00224016,0.002985256,0.1050557,0.0006016405,0.3596579],"genre_scores_gemma":[0.8061504,0.02337753,0.009342713,0.007140815,0.000710929,0.001444193,0.04638046,0.0001281703,0.1053248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9636918,"threshold_uncertainty_score":0.07219368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037941932886668,"score_gpt":0.2433574267398352,"score_spread":0.2329780074109685,"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."}}