{"id":"W1583622709","doi":"10.1111/cobi.12229","title":"Catching Up on Fisheries Crime","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Fish stock; Fisheries management; Business; Fishery; Corporate governance; International waters; Environmental planning; Geography; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234948,0.00009044765,0.0000820511,0.00004331675,0.0001235489,0.00002430087,0.0001406364,0.0001284513,0.00007465852],"category_scores_gemma":[0.0003813489,0.00008802058,0.00003988409,0.00006265007,0.0001021446,0.000003153588,0.00002744486,0.00005503411,0.0001688828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000598243,"about_ca_system_score_gemma":0.000029231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001854138,"about_ca_topic_score_gemma":0.00001514969,"domain_scores_codex":[0.9992462,0.0001237257,0.0001904012,0.0002748796,0.00004298447,0.0001218164],"domain_scores_gemma":[0.9993632,0.00003621497,0.00009464976,0.0003460554,0.0001241385,0.00003568761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006382817,0.0000432687,0.01810394,0.000009973878,0.0000260865,5.246825e-8,0.00007264484,0.000005141987,0.796966,0.1172683,0.06288988,0.004550815],"study_design_scores_gemma":[0.0002725977,0.0001415854,0.03509399,0.000003722086,0.000004648381,0.000002630642,0.00003277974,0.0001341293,0.1629456,0.0006827945,0.8005497,0.0001358369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964233,0.00005305958,0.01716359,0.005949222,0.001188179,0.0001441523,0.00001373919,0.00005325022,0.01120179],"genre_scores_gemma":[0.9897818,0.00002053542,0.0002812916,0.004820743,0.0001768542,0.00002927727,0.0005541784,0.00001102635,0.004324292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7376599,"threshold_uncertainty_score":0.3589375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462693578763933,"score_gpt":0.2883070328564917,"score_spread":0.2536800970688524,"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."}}