{"id":"W7096609022","doi":"","title":"Catch, bycatch, and indices of population status of blue shark (Prionace glauca","year":2004,"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":"Fishing; Pelagic zone; Population; Bycatch; Mortality rate; Abundance (ecology); Catch and release; Catch per unit effort","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":[0.0001941587,0.0002073897,0.00009101149,0.0009087013,0.0002362813,0.0002517987,0.0002291955,0.0001147545,0.005219081],"category_scores_gemma":[0.0009211062,0.00007941685,0.00008937695,0.0004914285,0.0002373998,0.0001967977,0.0001663096,0.0001104374,0.001299449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432146,"about_ca_system_score_gemma":0.0004302024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3383023,"about_ca_topic_score_gemma":0.5422036,"domain_scores_codex":[0.999944,0.000003663371,0.000003674637,0.00000994731,0.00002051535,0.00001820727],"domain_scores_gemma":[0.9996871,0.00003707795,0.00008657528,0.00001486707,0.00009565825,0.00007878635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004299324,0.00001279678,0.9880545,0.00001858979,0.00002606225,0.0000294564,0.0000747277,0.0001768082,0.0005474644,0.00004073874,0.001649583,0.009326384],"study_design_scores_gemma":[8.692008e-7,0.00001040478,0.9993619,0.000002348244,0.000004035659,0.00002405266,0.00003780823,0.00006700483,0.00001686217,0.00001010077,0.0004635837,0.000001005114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824354,0.0005316807,0.0002125667,0.00007510756,0.00001645786,0.0000175296,0.009303693,0.00004643418,0.00736123],"genre_scores_gemma":[0.983396,0.0005793876,0.0003515584,0.00004144168,0.00001825867,0.00001498572,0.008001893,0.000007851369,0.007588521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3383023,"threshold_uncertainty_score":0.6726663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005771673450898782,"score_gpt":0.2246661228358788,"score_spread":0.21889444938498,"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."}}