{"id":"W2118968485","doi":"10.1057/palgrave.jmm.5050067","title":"Physician compliance and market demographics","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Compliance (psychology); Demographics; Order (exchange); Business; Sample (material); Population; Public relations; Marketing; Accounting; Family medicine; Medicine; Environmental health; Political science; Psychology; Finance; Demography; Social psychology; Sociology","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":[0.003514704,0.00007007047,0.000197861,0.00146193,0.0004090633,0.001038239,0.00027415,0.0007249829,0.01155931],"category_scores_gemma":[0.02813172,0.0001188113,0.0002606771,0.001448064,0.0004584337,0.001468839,0.0004290721,0.0008450489,0.001019628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567079,"about_ca_system_score_gemma":0.0004683642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613888,"about_ca_topic_score_gemma":0.00162841,"domain_scores_codex":[0.9980206,0.0006855347,0.0002602689,0.0001729509,0.0006430576,0.0002175404],"domain_scores_gemma":[0.9544272,0.01944185,0.02102014,0.0008284993,0.002055172,0.002227097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001257005,0.000131053,0.9901217,0.00003023642,0.00002948685,0.0001773697,0.0004707638,0.00008801671,0.000300143,0.0004392848,0.0007055312,0.007380767],"study_design_scores_gemma":[0.000003635157,0.0001347098,0.9958263,0.00001805434,0.000007076636,0.0007283146,0.0008382982,0.0002535968,0.0001268358,0.0002227247,0.001833301,0.000007096546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840083,0.001203139,0.0003695695,0.002517231,0.00002418371,0.00004070597,0.0006845108,0.00001593228,0.01113643],"genre_scores_gemma":[0.9985703,0.0002330594,0.0001439578,0.0002208802,0.00004548256,0.00001257305,0.0001991302,0.000005764613,0.000568932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155931,"threshold_uncertainty_score":0.03866976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2572392966358278,"score_gpt":0.5252092271419254,"score_spread":0.2679699305060976,"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."}}