{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006431748,0.0005120307,0.0002205702,0.001438908,0.0002728309,0.001044867,0.000663452,0.0004873212,0.001715856],"category_scores_gemma":[0.002742461,0.0002138376,0.000678047,0.0007405324,0.0002766317,0.0006208846,0.001146983,0.0003919751,0.0001544585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006975766,"about_ca_system_score_gemma":0.0004304929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687598,"about_ca_topic_score_gemma":0.02317428,"domain_scores_codex":[0.9997178,0.00009354114,0.00002402995,0.00006133548,0.00005553896,0.000047752],"domain_scores_gemma":[0.9981787,0.0008967266,0.0004285772,0.0002041546,0.0001938083,0.00009793295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861608,0.0001633703,0.4096027,0.00008301435,0.0005888488,0.0003882902,0.0002332607,0.5670512,0.002170393,0.001191122,0.0004896233,0.01785211],"study_design_scores_gemma":[0.00001100257,0.000126865,0.2506942,0.00003867016,0.0001744991,0.0001839713,0.0005166723,0.7452804,0.0008645407,0.001467478,0.0005888519,0.00005284899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916822,0.00007544606,0.006159402,0.00008190077,0.000006137352,0.00001893005,0.0008433208,0.0001010318,0.001031543],"genre_scores_gemma":[0.9978429,0.00002505883,0.00162876,0.000009431743,0.000002830287,0.00001134678,0.0002708959,0.000004187582,0.0002044595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02687598,"threshold_uncertainty_score":0.05343908,"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."}}