{"id":"W1585721025","doi":"10.4212/cjhp.v68i3.1457","title":"An Introduction to Health Care Administrative Data","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Receipt; Health care; Pharmacy; Medical prescription; Nursing; Medicine; Business; Family medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04578625,0.001011813,0.001204264,0.01042293,0.002662791,0.009975989,0.004245651,0.003234857,0.01651555],"category_scores_gemma":[0.1222851,0.001732497,0.002215319,0.02846473,0.002800523,0.008634078,0.004207327,0.008281191,0.006090451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007330412,"about_ca_system_score_gemma":0.01379921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04563223,"about_ca_topic_score_gemma":0.03890568,"domain_scores_codex":[0.945623,0.02769071,0.006199358,0.003176436,0.01622847,0.001081939],"domain_scores_gemma":[0.8287186,0.1146078,0.008628015,0.02090785,0.0244271,0.002710706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000721552,0.00008842411,0.008675577,0.001835523,0.0001213131,0.0001772988,0.001231501,0.001677078,0.0002263055,0.2946909,0.3887819,0.3024221],"study_design_scores_gemma":[0.0000250335,0.00003512374,0.004334598,0.001668728,0.00002562237,0.0002305046,0.0004586977,0.001588283,0.0001683799,0.05421275,0.9371487,0.0001034114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003000231,0.0401703,0.6289609,0.1045846,0.01169682,0.004050174,0.1152355,0.005621459,0.08668],"genre_scores_gemma":[0.0362519,0.05273172,0.7865345,0.02557075,0.01485415,0.00637318,0.05977438,0.001905383,0.01600405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04578625,"threshold_uncertainty_score":0.2421437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3021541592267965,"score_gpt":0.494933303629746,"score_spread":0.1927791444029495,"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."}}