{"id":"W4251694931","doi":"10.1002/9781118445112.stat05227","title":"Administrative Databases","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Health care; Database; Geography; Business; Data science; Medicine; Computer science; Political science","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":[0.01424821,0.001235025,0.002274432,0.02028711,0.001593348,0.007531884,0.005858797,0.002074072,0.1477982],"category_scores_gemma":[0.09568649,0.001046498,0.001619507,0.04560642,0.0005309689,0.003702198,0.003238994,0.00258763,0.09760949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879044,"about_ca_system_score_gemma":0.01783071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692135,"about_ca_topic_score_gemma":0.009052804,"domain_scores_codex":[0.9701371,0.006775917,0.01088603,0.004106169,0.006819488,0.001275223],"domain_scores_gemma":[0.8918718,0.02958884,0.01464407,0.01982305,0.04029935,0.003772869],"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":[0.0002867652,0.0000837831,0.004656489,0.002528422,0.0002375926,0.00008960849,0.0001861923,0.0005831672,0.00009485588,0.01105001,0.9123899,0.06781316],"study_design_scores_gemma":[0.0002667204,0.00003448189,0.01002183,0.001741857,0.0001016426,0.0001520101,0.0002440234,0.0006772458,0.0002328901,0.006725194,0.9797512,0.00005090007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00100061,0.001092463,0.004403867,0.0009693239,0.0002906042,0.001134108,0.9551533,0.001250315,0.03470534],"genre_scores_gemma":[0.006335996,0.001494056,0.01038511,0.001112858,0.000278007,0.003427872,0.9663906,0.000516962,0.01005868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1477982,"threshold_uncertainty_score":0.4944344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4951985761320207,"score_gpt":0.5439134464755205,"score_spread":0.04871487034349986,"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."}}