{"id":"W4412548847","doi":"10.1177/20503245251362495","title":"Networked narratives: Examining how Purdue Pharmaceuticals shaped public health policy and practice","year":2025,"lang":"en","type":"article","venue":"Drug Science Policy and Law","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Narrative; Public relations; Public health policy; Public health; Political science; Psychology; Sociology; Health policy; Medicine; Nursing; Art; Literature","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":[0.02603719,0.0005942148,0.0003599336,0.002272654,0.02106919,0.01650173,0.002699611,0.004192671,0.005625133],"category_scores_gemma":[0.0391329,0.0007264279,0.0003546598,0.002086818,0.03073032,0.02197443,0.01796205,0.006077963,0.0004295603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02118657,"about_ca_system_score_gemma":0.01722246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02628352,"about_ca_topic_score_gemma":0.0309061,"domain_scores_codex":[0.9721859,0.02244626,0.0004890942,0.001351549,0.001526887,0.002000386],"domain_scores_gemma":[0.9557216,0.03536269,0.003162181,0.001297513,0.001417135,0.003038862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001813219,0.0000232648,0.002244024,0.00005998042,0.000004736019,0.0004326115,0.9257317,0.0001084188,0.0001181063,0.06368149,0.002020755,0.005556866],"study_design_scores_gemma":[0.000006386593,0.00002155816,0.0008432925,0.000205149,0.000005522278,0.0001069579,0.9260967,0.0003396866,0.0001695961,0.01125777,0.06092777,0.00001965446],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954043,0.003680486,0.00793163,0.1205333,0.0005337682,0.0002973381,0.0002111135,0.00007328454,0.1713348],"genre_scores_gemma":[0.9897605,0.001265521,0.001102417,0.003058527,0.00006155521,0.0001002782,0.00004525251,0.00003140474,0.004574533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02628352,"threshold_uncertainty_score":0.1537201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5021747903346369,"score_gpt":0.6039853426003902,"score_spread":0.1018105522657533,"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."}}