{"id":"W3037661587","doi":"10.1111/faf.12483","title":"Narco‐Fish: Global fisheries and drug trafficking","year":2020,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Entrust (Canada)","funders":"","keywords":"Fishing; Interdiction; Fishery; Business; Resource (disambiguation); Overfishing; Enforcement; Livelihood; Geography; Ecology; Biology","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":[0.0004196221,0.0002298067,0.0002489331,0.002719928,0.0005363191,0.001229616,0.0002707423,0.000295789,0.01040058],"category_scores_gemma":[0.001211496,0.00006823755,0.0004515135,0.003554882,0.001028852,0.001058364,0.00160715,0.0003323577,0.0004903883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221785,"about_ca_system_score_gemma":0.001065412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06187919,"about_ca_topic_score_gemma":0.0801773,"domain_scores_codex":[0.9997805,0.00004324586,0.00001741209,0.00004650226,0.00006624922,0.00004615164],"domain_scores_gemma":[0.9990403,0.0002114456,0.0004800114,0.00004824063,0.0001377758,0.00008225784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005078766,0.00004239734,0.9428752,0.0002894791,0.0001596084,0.0009206966,0.0009160329,0.003039441,0.0003977726,0.009990118,0.004958118,0.03636026],"study_design_scores_gemma":[0.000005579089,0.00005928749,0.9520907,0.0004295808,0.00009242228,0.000592327,0.01057959,0.006996061,0.000354957,0.004052137,0.02472123,0.00002617532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946428,0.004258935,0.001577538,0.003019735,0.00007637744,0.00006757637,0.006098328,0.00004551885,0.03842802],"genre_scores_gemma":[0.9912128,0.002052546,0.000627107,0.0002147848,0.00003770357,0.00002360321,0.001279694,0.00001217837,0.004539602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06187919,"threshold_uncertainty_score":0.123038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549962415394303,"score_gpt":0.2477880660746923,"score_spread":0.2222884419207492,"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."}}