{"id":"W3154984107","doi":"10.1007/978-1-0716-1138-8_26","title":"Evidence-Based Decision Making 6: Administrative Databases as Secondary Data Source for Epidemiologic and Health Service Research","year":2021,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Health care; Service (business); Data source; Business; Health services; Population health; HRHIS; Health policy; Database; Data quality; Knowledge management; Population; Medicine; Nursing; Public health; Computer science; Environmental health; Political science; Marketing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04009696,0.001197644,0.001727208,0.005294163,0.0005424509,0.008279989,0.002810269,0.00227216,0.02676231],"category_scores_gemma":[0.07130888,0.001794703,0.001657353,0.00821292,0.001270832,0.007237284,0.00341144,0.003328698,0.01138317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141486,"about_ca_system_score_gemma":0.004780707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198298,"about_ca_topic_score_gemma":0.005070635,"domain_scores_codex":[0.9672599,0.02181318,0.002857647,0.0009006085,0.006834126,0.0003345675],"domain_scores_gemma":[0.9273051,0.0629383,0.001954732,0.003317257,0.003761329,0.0007231816],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009453757,0.00007479037,0.0008461159,0.002279019,0.0002438967,0.00005820693,0.0003225306,0.002220876,0.0002065101,0.2554514,0.3128812,0.425321],"study_design_scores_gemma":[0.00008675381,0.00005083998,0.002164157,0.00373216,0.0001748857,0.0001328513,0.0001939799,0.009582614,0.001082744,0.4849384,0.4977826,0.00007812435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002801113,0.06537594,0.6004145,0.04345935,0.004088111,0.001384201,0.03428328,0.005061028,0.2431324],"genre_scores_gemma":[0.02678813,0.03746976,0.8604761,0.006871392,0.00185763,0.001484807,0.02076213,0.002274398,0.04201558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9599031,"threshold_uncertainty_score":0.2120555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9197772837183307,"score_gpt":0.6926750453432859,"score_spread":0.2271022383750447,"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."}}