{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006675057,0.0005234265,0.0008939488,0.0003295903,0.0004751771,0.00001564143,0.0003957776,0.000606052,0.02986138],"category_scores_gemma":[0.00172986,0.0004370799,0.00003700691,0.0001923294,0.0002238665,0.00006536701,0.0001643987,0.002143187,0.004916057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812945,"about_ca_system_score_gemma":0.001839662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198621,"about_ca_topic_score_gemma":0.006189256,"domain_scores_codex":[0.9957529,0.0006153555,0.001366297,0.0005317053,0.0008001674,0.0009335584],"domain_scores_gemma":[0.9955501,0.001285021,0.001431236,0.0007971453,0.0003132458,0.0006232681],"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":[0.00004051425,0.00007947496,0.0001961861,0.002063246,0.00003651042,0.00001064283,0.0002528016,4.128794e-7,6.77632e-7,0.05542365,0.9291301,0.01276578],"study_design_scores_gemma":[0.0007172275,0.0002198167,0.0002450182,0.003298081,0.00006434257,0.000001378493,0.0004696982,0.0006430378,3.350563e-7,0.001097021,0.9928079,0.0004361099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001118834,0.0005099945,0.2713805,0.000513974,0.001892923,0.001397885,0.1144544,0.0006527188,0.6091864],"genre_scores_gemma":[0.0002390863,0.005704098,0.1592392,0.003961212,0.002142339,0.0001957253,0.07130927,0.0005357313,0.7566733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1474869,"threshold_uncertainty_score":0.9998081,"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."}}