{"id":"W4413632792","doi":"10.64628/aam.hajum63tw","title":"How the pharmaceutical industry uses disinformation to undermine drug price reform","year":2023,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Disinformation; Pharmaceutical industry; Drug; Business; Law and economics; Economics; Political science; Pharmacology; Medicine; Law; Social media","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":[0.03147981,0.0004256508,0.0007123268,0.00253254,0.00294165,0.01568393,0.001732954,0.01644775,0.01079404],"category_scores_gemma":[0.1120744,0.000528431,0.0008545161,0.001624384,0.01106883,0.0113875,0.004759243,0.01113329,0.001624028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00891933,"about_ca_system_score_gemma":0.01328028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009671865,"about_ca_topic_score_gemma":0.007664958,"domain_scores_codex":[0.9762369,0.01322385,0.0005804069,0.001463995,0.005478135,0.003016662],"domain_scores_gemma":[0.9019912,0.07486838,0.006683949,0.004643066,0.0086208,0.003192596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003304836,0.0002222948,0.004096377,0.000179232,0.0001282849,0.0002560709,0.001652302,0.0024217,0.0006568588,0.9023154,0.05057655,0.03716436],"study_design_scores_gemma":[0.0003622451,0.0002666658,0.005339867,0.0004718063,0.0002011886,0.0002290636,0.001872413,0.007113927,0.003418024,0.7595701,0.221017,0.0001376372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05499838,0.006649584,0.01178878,0.7213122,0.001514688,0.00009117951,0.00017607,0.0002105924,0.2032585],"genre_scores_gemma":[0.8827453,0.002292499,0.002739603,0.09697749,0.001726011,0.00005547803,0.00003972451,0.00009838496,0.01332552],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03147981,"threshold_uncertainty_score":0.1664832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344081908847762,"score_gpt":0.3305701986658463,"score_spread":0.1961620077810701,"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."}}