{"id":"W2470655036","doi":"","title":"How complete are drug history profiles that are based on public drug benefit claims?","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Medical prescription; Prior authorization; Authorization; Family medicine; Drug; Prescription drug; Subsidy; Medical emergency; Actuarial science; Business; Pharmacology; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01523457,0.0004885817,0.001038139,0.006751065,0.00066727,0.003483979,0.001801542,0.001116791,0.002812688],"category_scores_gemma":[0.1131182,0.0005137263,0.001204056,0.008899116,0.001150243,0.004090889,0.001342005,0.0009638733,0.0009013269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538671,"about_ca_system_score_gemma":0.004437939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2073189,"about_ca_topic_score_gemma":0.2265831,"domain_scores_codex":[0.9847596,0.003338855,0.002490661,0.001835692,0.006614188,0.0009609027],"domain_scores_gemma":[0.8801125,0.03970166,0.05133922,0.008370242,0.01768789,0.002788502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001218669,0.00003901468,0.9803194,0.0001585477,0.000237468,0.00005286519,0.0002880121,0.0003887737,0.00006071079,0.0002184852,0.002483491,0.01563136],"study_design_scores_gemma":[0.00001637741,0.000042127,0.9912454,0.0002419303,0.0001171693,0.0001945714,0.0005891628,0.002089821,0.0001202216,0.0005352722,0.004784343,0.00002348583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775156,0.007408811,0.006767321,0.004735403,0.0001336109,0.000378254,0.08944067,0.0001445598,0.01347588],"genre_scores_gemma":[0.9632007,0.002014068,0.003158556,0.0003737214,0.0001249708,0.0001082534,0.03056773,0.00002244703,0.0004296326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2073189,"threshold_uncertainty_score":0.4122244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399388684643332,"score_gpt":0.2307416946359936,"score_spread":0.09080282617166044,"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."}}