{"id":"W1548559992","doi":"","title":"US drug industry bans expensive freebies for MDs, Canada raises fines.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug industry; Drug; Code (set theory); Computer science; Medicine; Pharmacology; Engineering ethics; Engineering; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003079713,0.0005531104,0.0005807038,0.001544804,0.01380348,0.006543662,0.001658966,0.01094968,0.07188838],"category_scores_gemma":[0.0146234,0.0008223581,0.000997637,0.001537492,0.003236098,0.001981956,0.002126381,0.008007012,0.02400025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01945958,"about_ca_system_score_gemma":0.08923937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8723912,"about_ca_topic_score_gemma":0.9474784,"domain_scores_codex":[0.9894839,0.0003567105,0.0001899456,0.0004846797,0.007671999,0.001812826],"domain_scores_gemma":[0.9875415,0.001316822,0.0002696269,0.0006033798,0.008296481,0.00197217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001662348,0.00001409636,0.0003855337,0.00002435939,0.000003571644,0.00005581262,0.0001025056,0.00001937571,0.0001974808,0.01559486,0.9724088,0.01117698],"study_design_scores_gemma":[0.00000818786,0.000007482061,0.001267376,0.00002800879,0.000005721135,0.00003878736,0.000123793,0.00003298942,0.0001564583,0.0005049508,0.9978139,0.00001223286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00467423,0.002948686,0.001285464,0.2091006,0.01130959,0.0002681022,0.002447634,0.001218272,0.7667474],"genre_scores_gemma":[0.02226119,0.001245978,0.001367748,0.102597,0.0006334538,0.00008028975,0.0009787966,0.0002901532,0.8705453],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1276088,"threshold_uncertainty_score":0.2567205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5000989495356853,"score_gpt":0.4715892114560379,"score_spread":0.02850973807964746,"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."}}