{"id":"W3166542644","doi":"10.1186/s12913-021-06593-z","title":"Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database","year":2021,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto; Department of Health and Aged Care, Australian Government","keywords":"Medicine; Algorithm; Medical diagnosis; Anxiety; Health informatics; Asthma; Database; Depression (economics); Diagnosis code; Coding (social sciences); Nursing research; Public health; Psychiatry; Internal medicine; Computer science; Population; Nursing; Pathology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05687789,0.0005317004,0.0008960023,0.003752684,0.0008267849,0.003958819,0.00157126,0.001125107,0.0005611652],"category_scores_gemma":[0.2036194,0.0005275566,0.001040304,0.003533881,0.001079373,0.002380874,0.00331698,0.0008873414,0.000290718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003112477,"about_ca_system_score_gemma":0.004072472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299077,"about_ca_topic_score_gemma":0.01880635,"domain_scores_codex":[0.9533764,0.02374891,0.008118909,0.004078051,0.009694626,0.0009831899],"domain_scores_gemma":[0.8653082,0.08228251,0.01910703,0.01027504,0.02133823,0.001689121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007114335,0.0003225126,0.9412959,0.0003407979,0.000553054,0.00007607993,0.001198428,0.00449806,0.0002799437,0.0006734696,0.001617523,0.0484327],"study_design_scores_gemma":[0.0003063313,0.0006645786,0.9012891,0.0004909604,0.0004394838,0.0003837204,0.001034209,0.08789679,0.001156913,0.001482782,0.004791142,0.0000638906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867657,0.0007799108,0.005272618,0.0006512349,0.00005477677,0.001158552,0.002706576,0.0001434822,0.002467037],"genre_scores_gemma":[0.972939,0.0002595949,0.02078391,0.0002737868,0.00002522989,0.0003309846,0.005217799,0.00001469176,0.0001549562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05687789,"threshold_uncertainty_score":0.3008026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6539057808178153,"score_gpt":0.6568441598061823,"score_spread":0.002938378988367019,"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."}}