{"id":"W7133271055","doi":"","title":"Science Response : stock status update for scallop in SFA 29 West of 65°30’","year":2022,"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","keywords":"Scallop; Fishing; Stock (firearms); Bycatch; Discards; Stock assessment; West coast","routes":{"ca_aff":false,"ca_fund":true,"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":[0.005065564,0.0006623126,0.0005216034,0.003028347,0.001737473,0.001656225,0.001765611,0.003977605,0.03412629],"category_scores_gemma":[0.01318001,0.000425706,0.0007449662,0.001412233,0.000447289,0.000850821,0.001534713,0.001833098,0.02199855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005880035,"about_ca_system_score_gemma":0.0202248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4424739,"about_ca_topic_score_gemma":0.4994718,"domain_scores_codex":[0.9956559,0.0002290046,0.0003325078,0.0002132641,0.003065413,0.0005039332],"domain_scores_gemma":[0.96921,0.001278122,0.001556014,0.0009805443,0.02536837,0.001607008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001094557,0.00005868128,0.004537821,0.0001765303,0.00001362102,0.0001439997,0.00009755253,0.0001911901,0.0007337584,0.0002617539,0.9735274,0.02014821],"study_design_scores_gemma":[0.00006056272,0.00008499719,0.02383981,0.0001354258,0.00001706841,0.00004865511,0.0002434703,0.000324638,0.0008558205,0.0002633579,0.9740862,0.00003999562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03323242,0.002555235,0.006783893,0.1159359,0.0285663,0.00856689,0.4472861,0.01101274,0.3460605],"genre_scores_gemma":[0.08874099,0.002643791,0.02156024,0.08248392,0.004801903,0.004747219,0.28688,0.001423085,0.5067189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5575261,"threshold_uncertainty_score":0.8797969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021814149671824,"score_gpt":0.2531479209939039,"score_spread":0.2429297794971857,"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."}}