{"id":"W7096255350","doi":"","title":"ICCAT Working Paper for Shark Stock Assessment Meeting 2008 Commercial Bycatch Rates of Shortfin Mako (Isurus oxyrinchus) from Longline Fisheries in the Canadian Atlantic","year":2014,"lang":"en","type":"article","venue":"","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swordfish; Bycatch; Fishing; Tuna; Stock assessment; Stock (firearms)","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":[0.003094482,0.0008820868,0.0006055965,0.005009692,0.0009752371,0.002044565,0.001561548,0.0005020844,0.01546709],"category_scores_gemma":[0.003428996,0.0005329707,0.0007527719,0.003636425,0.0002798975,0.000769829,0.001023833,0.0006811477,0.00574733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006443894,"about_ca_system_score_gemma":0.02151026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8961489,"about_ca_topic_score_gemma":0.9107374,"domain_scores_codex":[0.9981697,0.0001039971,0.0001420622,0.0001440083,0.001235072,0.0002050587],"domain_scores_gemma":[0.9884346,0.0001903573,0.0003418814,0.0003109011,0.01015461,0.0005676704],"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":[0.0005233505,0.0002100783,0.1434697,0.0004264612,0.0002293274,0.0001383832,0.0002795134,0.002833299,0.002554625,0.0008027352,0.682629,0.1659036],"study_design_scores_gemma":[0.0001377786,0.0001418615,0.6522666,0.0003829026,0.0002788909,0.00008129952,0.0005333927,0.005088274,0.002479086,0.0003534031,0.3381667,0.00008978567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1068696,0.003771745,0.01058959,0.004347865,0.002188927,0.002072971,0.646799,0.001323381,0.2220369],"genre_scores_gemma":[0.1747991,0.002728122,0.01721685,0.0004948787,0.0002893131,0.0008124206,0.6128682,0.0006914277,0.1900996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1038511,"threshold_uncertainty_score":0.2089253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414974935541165,"score_gpt":0.2653648751107315,"score_spread":0.2412151257553198,"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."}}