{"id":"W4402406471","doi":"10.23889/ijpds.v9i5.2878","title":"Validated Administrative Data-Based ICD-10 Algorithms for Chronic Conditions","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Algorithm; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004992981,0.0001210887,0.0001475618,0.0004229024,0.001830119,0.0003201354,0.00213351,0.00009682738,0.000928609],"category_scores_gemma":[0.003323086,0.0001005161,0.00004267528,0.0003545387,0.0001457801,0.003537532,0.0002702582,0.0004317944,0.0001348893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000631743,"about_ca_system_score_gemma":0.003913363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007385122,"about_ca_topic_score_gemma":0.00009792468,"domain_scores_codex":[0.9971575,0.00008344264,0.0009376165,0.0004437631,0.0009571537,0.0004205335],"domain_scores_gemma":[0.9965972,0.001095533,0.0003895424,0.0005642815,0.001086629,0.0002668052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004411617,0.0001692786,0.001793052,0.001053891,0.0001974209,0.00001724671,0.001038533,0.001713341,0.0006727158,0.0906086,0.8115643,0.0907305],"study_design_scores_gemma":[0.0006151396,0.00009786025,0.001496333,0.0004198152,0.00002329721,0.00001138658,0.0001159808,0.6204341,0.00002410232,0.001927289,0.3747378,0.00009692734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005218048,0.0002318961,0.9107543,0.02632283,0.02320478,0.002158623,0.03078105,0.0002672083,0.001061326],"genre_scores_gemma":[0.8741656,0.0000857234,0.03843752,0.002630525,0.006009767,0.0002616381,0.07592439,0.00003802637,0.00244681],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8723167,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6434628105406506,"score_gpt":0.6449304775123317,"score_spread":0.001467666971681103,"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."}}