{"id":"W2891918393","doi":"10.23889/ijpds.v3i4.726","title":"ICD coding training worldwide","year":2018,"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":"Certification; Coding (social sciences); Descriptive statistics; Benchmarking; Medical classification; Medical education; Business; Psychology; Medicine; Marketing; Political science; Nursing; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008189099,0.0004465141,0.0003451293,0.004156485,0.001058124,0.002588089,0.0012261,0.0008966347,0.1294141],"category_scores_gemma":[0.04108079,0.0003076562,0.0004338422,0.004180435,0.0009093678,0.003065331,0.004544653,0.001863885,0.03899004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366749,"about_ca_system_score_gemma":0.006802288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005210638,"about_ca_topic_score_gemma":0.004377905,"domain_scores_codex":[0.99068,0.002948253,0.001088982,0.001089173,0.003040718,0.001152904],"domain_scores_gemma":[0.9615403,0.01136895,0.005081774,0.003923772,0.01303712,0.00504801],"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":[0.00005712251,0.00008535338,0.01895037,0.0006034275,0.000009355858,0.0001918093,0.002022574,0.000191936,0.0004877811,0.008422418,0.4884676,0.4805102],"study_design_scores_gemma":[0.00001511817,0.00006916604,0.03352666,0.001330886,0.000005855778,0.0008627532,0.002418239,0.0002372381,0.0004106994,0.002547626,0.9585462,0.00002947037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07624634,0.01627894,0.02538066,0.1116269,0.01369497,0.001283655,0.03379737,0.003246519,0.7184446],"genre_scores_gemma":[0.3827758,0.03768099,0.05152839,0.0556144,0.00823097,0.002336595,0.0623323,0.001975551,0.397525],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1294141,"threshold_uncertainty_score":0.4329333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5815781486454729,"score_gpt":0.5942205993081467,"score_spread":0.01264245066267389,"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."}}