{"id":"W1548585674","doi":"10.1111/conl.12085","title":"Mass Media Influence and the Regulation of Illegal Practices in the Seafood Market","year":2014,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Regional Development Fund; Higher Education Authority","keywords":"Business; Enforcement; Mass media; Production (economics); Product (mathematics); Compliance (psychology); Advertising; Marketing; Economics; Political science; Law; Psychology","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":[0.00508464,0.0001952205,0.0001745322,0.002072389,0.001744782,0.004803209,0.0005767868,0.001323134,0.006029312],"category_scores_gemma":[0.02503272,0.0002218583,0.0001962917,0.0008394115,0.004586349,0.001642891,0.001440705,0.001280615,0.0004827669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103647,"about_ca_system_score_gemma":0.001051295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006950141,"about_ca_topic_score_gemma":0.004905797,"domain_scores_codex":[0.9941764,0.003493273,0.0002212774,0.000391217,0.0013291,0.0003886522],"domain_scores_gemma":[0.9347947,0.04003684,0.0172713,0.002854673,0.004035055,0.001007479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002208746,0.001704057,0.5674074,0.0004825195,0.0002118416,0.003752845,0.1104598,0.0009187476,0.02704985,0.0690399,0.005132334,0.211632],"study_design_scores_gemma":[0.00009466497,0.0007499139,0.8423574,0.0005434999,0.0001305214,0.0009768035,0.06736904,0.002622529,0.01414728,0.01326373,0.05761759,0.0001270104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172242,0.0005156294,0.0008411637,0.002992783,0.00006302395,0.00003810828,0.00005618515,0.00001873157,0.07825014],"genre_scores_gemma":[0.997997,0.0001018365,0.000124089,0.0001801053,0.00004513355,0.000007117328,0.000007390848,0.000004562724,0.001532835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006950141,"threshold_uncertainty_score":0.02689046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718877411191276,"score_gpt":0.2533155366275101,"score_spread":0.2361267625155973,"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."}}