{"id":"W593769048","doi":"","title":"A Multicenter Study of the Coding Accuracy of Hospital Discharge Administrative Data for Cardiac Care Unit Patients in Ontario","year":2002,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Coding (social sciences); Coronary care unit; Patient discharge; Hospital discharge; Multicenter study; Unit (ring theory); Emergency medicine; Medical emergency; MEDLINE; Intensive care medicine; Cardiology; Internal medicine; Statistics; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006107397,0.00008868922,0.0003558976,0.00006692584,0.000419398,0.000005696171,0.0002814129,0.00003648987,0.0001270238],"category_scores_gemma":[0.001099117,0.00005872983,0.00005534653,0.000158945,0.00007718324,0.0002104832,0.0001272839,0.0007800349,0.000004632821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655605,"about_ca_system_score_gemma":0.0003770328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01513789,"about_ca_topic_score_gemma":0.01828863,"domain_scores_codex":[0.9979377,0.0004503309,0.000860207,0.0001136578,0.000343862,0.0002941942],"domain_scores_gemma":[0.9977411,0.0006897269,0.0008006603,0.0003333314,0.0003082516,0.0001269365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004927414,0.0002737603,0.9161307,0.00007982698,0.00001760842,1.465623e-7,0.08030356,0.000001298968,0.000001446315,0.000005724972,0.002102616,0.001034087],"study_design_scores_gemma":[0.001470237,0.00124513,0.8960037,0.0003247621,0.00002356379,1.450566e-7,0.09475511,0.0002409735,0.000003325511,0.000001890925,0.005871388,0.00005982319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969695,0.00001778054,0.00002007552,0.0005301581,0.0006912136,0.001389561,0.000130423,0.000003698621,0.0002476499],"genre_scores_gemma":[0.999319,0.00002099682,0.0002271682,0.0002429837,0.00007828148,0.00003426871,0.00002078052,0.00000748906,0.00004907563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02012699,"threshold_uncertainty_score":0.999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3307133732009909,"score_gpt":0.4807269350107253,"score_spread":0.1500135618097344,"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."}}