{"id":"W4323544339","doi":"10.47536/jcrm.v8i1.703","title":"Bycatch of harbour porpoises (Phocoena phocoena) in gillnet fisheries of the Estuary and Gulf of St. Lawrence, Canada, 2000-02","year":2023,"lang":"en","type":"article","venue":"˜The œjournal of cetacean research and management. Special issue","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Porpoise; Phocoena; Bycatch; Harbour; Fishery; Estuary; Population; Geography; Cetacea; Oceanography; Environmental science; Fishing; Biology; Geology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916143,0.0003743377,0.000190444,0.001087743,0.0005585595,0.0005882706,0.0004331168,0.0003000529,0.0005774766],"category_scores_gemma":[0.001390478,0.0002384255,0.0002482071,0.001275697,0.0005525545,0.00033931,0.0004932088,0.0002428081,0.0001723859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005268724,"about_ca_system_score_gemma":0.003471891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8719015,"about_ca_topic_score_gemma":0.9618295,"domain_scores_codex":[0.9996098,0.00003949355,0.00002630948,0.00008267415,0.0001507186,0.00009106471],"domain_scores_gemma":[0.9984133,0.0001025198,0.000509155,0.00004825064,0.0006730795,0.0002537089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004637748,0.00001758514,0.9970408,0.00001528978,0.00002451662,0.00006138156,0.0004302833,0.00004743231,0.0004501362,0.000007469294,0.0001735555,0.001685128],"study_design_scores_gemma":[0.000001005512,0.00001547191,0.9995258,0.000002440679,0.000003921362,0.00001667273,0.0002464762,0.00003543823,0.0000541863,0.00000122488,0.00009608769,0.000001279685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999002,0.00006437449,0.00002141009,0.00001761561,0.000001734574,0.000008283529,0.0006244703,0.000002177636,0.0002579325],"genre_scores_gemma":[0.9975238,0.0001647262,0.00006276099,0.00002912487,0.000001836556,0.000009377317,0.001117152,0.000001398301,0.001089802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280985,"threshold_uncertainty_score":0.2577057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556031069810101,"score_gpt":0.266605886305457,"score_spread":0.2410455756073559,"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."}}