{"id":"W1929251586","doi":"","title":"Deadly medicines and organised crime: How big pharma has corrupted healthcare","year":2014,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"PolicyWise for Children & Families","funders":"","keywords":"Publishing; Health care; Alternative medicine; Data science; Library science; Operations research; Medicine; Computer science; Political science; Law; Engineering","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":[0.009399833,0.0006274607,0.000635003,0.001588264,0.006259426,0.02073298,0.001166531,0.00957369,0.02085588],"category_scores_gemma":[0.02374755,0.0004868119,0.0005047816,0.002227816,0.01088727,0.01218545,0.00466379,0.0107676,0.006056155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005318478,"about_ca_system_score_gemma":0.01120878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009799762,"about_ca_topic_score_gemma":0.01942466,"domain_scores_codex":[0.9902321,0.003313417,0.0004424821,0.0005905604,0.004164528,0.001257059],"domain_scores_gemma":[0.9835224,0.007246145,0.001015376,0.001114923,0.002957192,0.004144087],"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":[0.00003478042,0.00001534235,0.0004190249,0.000258938,0.00001848778,0.0001556887,0.001858231,0.00005521163,0.0001082075,0.05577347,0.8885238,0.0527788],"study_design_scores_gemma":[0.00001045897,0.0000251044,0.0009563706,0.000643091,0.000008446124,0.0001941053,0.002629287,0.00005858876,0.0001029594,0.01448795,0.9808621,0.00002162572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001625658,0.05369746,0.0005040687,0.8599858,0.0139228,0.00002197419,0.0001140719,0.000114747,0.07001346],"genre_scores_gemma":[0.1006152,0.128745,0.001445435,0.6025928,0.01952374,0.00007927695,0.0002818819,0.0006010603,0.1461157],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02085588,"threshold_uncertainty_score":0.06976986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495228011291636,"score_gpt":0.2381031634071646,"score_spread":0.2131508832942483,"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."}}