{"id":"W4293062464","doi":"10.1111/faf.12676","title":"Spatially explicit risk assessment of marine megafauna vulnerability to Indian Ocean tuna fisheries","year":2022,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Megafauna; Fishery; Fishing; Tuna; Fisheries management; Marine protected area; Bycatch; Geography; Vulnerability (computing); Vulnerable species; Fisheries science; Ecology; Biology; Fish <Actinopterygii>; Habitat; Endangered species","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004392328,0.0001632697,0.0002722864,0.0000362159,0.0004180339,0.00001958482,0.0002517863,0.00006963344,0.01388117],"category_scores_gemma":[0.0001162888,0.0001572809,0.00004925917,0.0001766851,0.0003039859,0.0001548747,0.001465373,0.0002715085,0.000008119912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007541406,"about_ca_system_score_gemma":0.00002386782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912743,"about_ca_topic_score_gemma":0.005768233,"domain_scores_codex":[0.9986554,0.0002218162,0.0002745534,0.0003770651,0.0001847637,0.0002863802],"domain_scores_gemma":[0.9993882,0.00008493257,0.0001044498,0.0002964507,0.00001118747,0.0001147483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009444741,0.00008742644,0.975333,0.00001168453,0.0000194873,0.000007996548,0.00100999,0.00006670999,0.0001320455,0.00008316823,0.01468599,0.008468104],"study_design_scores_gemma":[0.000237011,0.0006769806,0.9097182,9.617643e-7,0.00001392002,0.00001253481,0.0003774205,0.00004347429,0.0001425659,0.001297631,0.08731011,0.0001692446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972419,0.000003244106,0.00005597846,0.002537278,0.000230821,0.0002496321,0.0001910748,0.0000361124,0.02427692],"genre_scores_gemma":[0.995891,0.00001961846,0.00111541,0.001633342,0.00003454411,0.00006259712,0.00008349382,0.00001180027,0.001148171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07262412,"threshold_uncertainty_score":0.9870203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007908238944283958,"score_gpt":0.2214169484380335,"score_spread":0.2135087094937496,"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."}}