{"id":"W2147450289","doi":"10.1345/aph.1p389","title":"Physician Perceptions About Generic Drugs","year":2011,"lang":"en","type":"article","venue":"Annals of Pharmacotherapy","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Family medicine; Descriptive statistics; Likert scale; Generic drug; Logistic regression; Perception; Population; Quarter (Canadian coin); Health care; Environmental health; Drug; Internal medicine; Pharmacology; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002761954,0.0001594503,0.0003468278,0.0001823318,0.0000665127,0.00001724272,0.0003092194,0.00005575008,0.005534103],"category_scores_gemma":[0.000004355913,0.0001871626,0.0002411144,0.0001880252,0.0001036106,0.000215594,0.00002564977,0.000120092,0.001075795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001358311,"about_ca_system_score_gemma":0.00001584137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001609263,"about_ca_topic_score_gemma":0.000001546608,"domain_scores_codex":[0.9988108,0.00001609366,0.0005298405,0.0002728732,0.0000248662,0.0003455038],"domain_scores_gemma":[0.9992639,0.00001832443,0.0002779737,0.0002463946,0.00003744498,0.0001559124],"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":[0.0002745682,0.001843578,0.01453941,0.0001088023,0.0009576848,0.000004606281,0.01562023,0.00007118313,0.05733589,0.7177698,0.09562302,0.09585123],"study_design_scores_gemma":[0.001688135,0.0001798467,0.01881175,0.00001661634,0.00001490594,0.000001774716,0.0001399186,0.002830834,0.1375057,0.123816,0.7142316,0.0007629329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7225703,0.004289894,0.0004043307,0.001989431,0.0004375353,0.0002044294,0.0003656863,0.00005510728,0.2696833],"genre_scores_gemma":[0.9658314,0.008771364,0.0003523073,0.02412699,0.0002891574,0.00002275575,0.000006723201,0.00003801082,0.0005613173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6186086,"threshold_uncertainty_score":0.999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2192757037191003,"score_gpt":0.3669874518227134,"score_spread":0.147711748103613,"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."}}