{"id":"W3156103863","doi":"10.23889/ijpds.v6i1.1406","title":"Mapping Three Versions of the International Classification of Diseases to Categories of Chronic Conditions","year":2021,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"Winnipeg Foundation","keywords":"Schema crosswalk; ICD-10; Diagnosis code; Medical diagnosis; Computer science; Medicine; Data mining; Geography; Population; Pathology; Psychiatry; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01503451,0.0008797936,0.0009461314,0.007608342,0.0009758092,0.002408843,0.001900166,0.0006195696,0.005249162],"category_scores_gemma":[0.08466622,0.0004175298,0.001504996,0.01163502,0.001006329,0.001475615,0.003829357,0.001595228,0.001475191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462107,"about_ca_system_score_gemma":0.007929051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995532,"about_ca_topic_score_gemma":0.02203268,"domain_scores_codex":[0.9747291,0.009152545,0.004741831,0.003172386,0.007396919,0.0008071325],"domain_scores_gemma":[0.9548759,0.01664857,0.008043805,0.005847408,0.01362725,0.0009569722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009509599,0.0002616991,0.5075917,0.005153117,0.001185575,0.0004433436,0.009950551,0.004110429,0.002317869,0.01681184,0.07917162,0.3720513],"study_design_scores_gemma":[0.0002544167,0.0002628685,0.7709844,0.003874874,0.0006521979,0.00104481,0.005480701,0.009005952,0.003539643,0.03032305,0.1741834,0.0003937678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4896219,0.005453025,0.2743981,0.004258984,0.002249554,0.01029823,0.1562113,0.002988721,0.05452008],"genre_scores_gemma":[0.4742684,0.002950697,0.3810315,0.001248153,0.0002319053,0.01562444,0.120408,0.0008209249,0.00341608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995532,"threshold_uncertainty_score":0.07951105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3742762050581117,"score_gpt":0.5272327507167389,"score_spread":0.1529565456586273,"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."}}