{"id":"W2794220948","doi":"10.20529/ijme.2018.022","title":"Combating corruption in the pharmaceutical arena","year":2018,"lang":"en","type":"article","venue":"Indian Journal of Medical Ethics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Sainte-Anne; Centre for Global Health Research; Carleton University; York University","funders":"","keywords":"Transparency (behavior); Incentive; Legislature; Sanctions; Language change; Intellectual property; Public relations; Business; Payment; Accountability; Health care; Pharmaceutical industry; Conflict of interest; Public economics; Accounting; Economics; Finance; Political science; Medicine; Law; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01312749,0.0001025687,0.0003067884,0.0002186158,0.0001119569,0.00007935594,0.000755664,0.0003872683,0.001223571],"category_scores_gemma":[0.005084085,0.00008254785,0.0001147138,0.000245041,0.0004273341,0.0001455902,0.00005538661,0.002922629,0.0002952117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007482155,"about_ca_system_score_gemma":0.0002966803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004159685,"about_ca_topic_score_gemma":0.00007000547,"domain_scores_codex":[0.9980787,0.000164325,0.001049846,0.0001342121,0.0002635629,0.0003093284],"domain_scores_gemma":[0.9978339,0.00118418,0.0004572987,0.0001420816,0.00008021524,0.0003023288],"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":[0.0001126249,0.000437394,0.02022171,0.0001255399,0.0001046247,0.0005139768,0.03268398,0.00002266622,0.00001153928,0.9094251,0.008091467,0.02824931],"study_design_scores_gemma":[0.00403978,0.0005903101,0.007593721,0.0003920175,0.00001965434,0.001162674,0.001333635,0.01566945,0.0001154709,0.2037103,0.7649326,0.0004403757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5930374,0.001925322,0.003551005,0.3756149,0.002859364,0.0001805713,0.00003894438,0.0000116863,0.02278084],"genre_scores_gemma":[0.9663404,0.001070613,0.0001752262,0.03097098,0.00141634,0.000001571936,0.000001197723,0.00001085901,0.0000128245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7568411,"threshold_uncertainty_score":0.9996895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899076959002328,"score_gpt":0.4166124613788484,"score_spread":0.2267047654786156,"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."}}