{"id":"W7133278244","doi":"","title":"Science Response : Sablefish MP","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":"","keywords":"Fishing; Stock assessment; Fisheries management; Stock (firearms); Statistic; Fishing industry; Profit (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003661038,0.001164851,0.0007011159,0.0009601905,0.003527665,0.003280124,0.00155639,0.02105415,0.09018421],"category_scores_gemma":[0.01259308,0.0005764845,0.0007844719,0.00073411,0.001823066,0.001614423,0.002741916,0.01327081,0.0350622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004700933,"about_ca_system_score_gemma":0.01041312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873532,"about_ca_topic_score_gemma":0.02852388,"domain_scores_codex":[0.9971788,0.0003444299,0.0001854597,0.0004549956,0.001294208,0.000542207],"domain_scores_gemma":[0.9898973,0.002300226,0.0004498309,0.0004674295,0.004807398,0.002077862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008622318,0.00003223858,0.0004842299,0.00007101474,0.000004882514,0.0001973391,0.00005595757,0.00006593658,0.0002920929,0.0004168889,0.9925649,0.005728235],"study_design_scores_gemma":[0.00005455493,0.00006458534,0.001505522,0.00007803016,0.000004661124,0.0000645308,0.0002829812,0.0001436116,0.0001683424,0.0004476647,0.9971668,0.00001867598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004262405,0.001070902,0.0006709015,0.8462462,0.06012795,0.0006491674,0.003886274,0.001331748,0.08175452],"genre_scores_gemma":[0.01798009,0.001068343,0.001245069,0.648935,0.0206577,0.0007750351,0.002241915,0.0002618351,0.3068351],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09018421,"threshold_uncertainty_score":0.3016962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049120184792095,"score_gpt":0.2444480090378465,"score_spread":0.2339568071899255,"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."}}