{"id":"W2077517112","doi":"10.3354/meps11135","title":"Economic incentives and overfishing: a bioeconomic vulnerability index","year":2014,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overfishing; Fishing; Fishery; Incentive; Geography; Vulnerability (computing); Population; Index (typography); Vulnerability index; Fisheries management; Ecology; Economics; Climate change; Biology; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001217271,0.0003610827,0.0002420085,0.004109354,0.0003728544,0.001619414,0.0003338585,0.0005064539,0.005114098],"category_scores_gemma":[0.008579165,0.0001645459,0.0005764274,0.004074543,0.0005536257,0.001580769,0.001763226,0.0006691068,0.0004013701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309294,"about_ca_system_score_gemma":0.0004537102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570782,"about_ca_topic_score_gemma":0.002804012,"domain_scores_codex":[0.9994515,0.0001300027,0.00008091595,0.00004670496,0.0002219673,0.00006896361],"domain_scores_gemma":[0.9939091,0.001917684,0.002398278,0.0002354702,0.0008421347,0.0006972083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001340264,0.0002274825,0.9139556,0.0001161105,0.0003007062,0.0002310075,0.0004573725,0.02391029,0.0004767627,0.014437,0.006846786,0.03890687],"study_design_scores_gemma":[0.0000103132,0.0000963518,0.9467394,0.00006109309,0.00004381894,0.0002668075,0.000780267,0.02545328,0.0002416221,0.01904994,0.007212626,0.00004440689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410977,0.0008583075,0.01023922,0.001551482,0.00004672439,0.0002571175,0.005917878,0.00006883772,0.03996277],"genre_scores_gemma":[0.9921056,0.0003823078,0.003721737,0.00005401901,0.00003719009,0.0001179895,0.001930838,0.00001034339,0.001639983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005114098,"threshold_uncertainty_score":0.01710838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006454454180685025,"score_gpt":0.2340180808775225,"score_spread":0.2275636266968375,"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."}}