{"id":"W4400112163","doi":"10.1001/jamahealthforum.2024.1581","title":"Quantifying Industry Spending on Promotional Events Using Open Payments Data","year":2024,"lang":"en","type":"article","venue":"JAMA Health Forum","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Payment; Business; Economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006386366,0.0005674333,0.0004219574,0.01048971,0.0003881497,0.001495152,0.000672707,0.0004921363,0.001561203],"category_scores_gemma":[0.03288537,0.0002727957,0.0008195802,0.009589627,0.0003804523,0.001422245,0.001777731,0.0005497034,0.0004617304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102118,"about_ca_system_score_gemma":0.001516178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009159287,"about_ca_topic_score_gemma":0.0116781,"domain_scores_codex":[0.9922538,0.003261376,0.001457813,0.0008284847,0.001797941,0.0004005866],"domain_scores_gemma":[0.9461818,0.01979174,0.02730828,0.0029113,0.002861842,0.0009451769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000800778,0.00008461564,0.9835848,0.00009100453,0.0001269773,0.00002759098,0.0001189858,0.001578663,0.0001844622,0.0003129476,0.0009825332,0.01282736],"study_design_scores_gemma":[0.00002010976,0.0001244517,0.9854743,0.0001013353,0.00006723427,0.00009323202,0.0004236588,0.009526799,0.0005123767,0.0004575345,0.003177729,0.00002120201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604467,0.0005437892,0.009246325,0.0005011969,0.0000255567,0.0002687952,0.02488836,0.00008735255,0.003991828],"genre_scores_gemma":[0.9545541,0.0004094045,0.01673222,0.00009976076,0.00009112839,0.0004184243,0.02701837,0.0000183176,0.000658149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048971,"threshold_uncertainty_score":0.03377473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.853237071100715,"score_gpt":0.6787091357633511,"score_spread":0.1745279353373639,"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."}}