{"id":"W6977051803","doi":"10.6084/m9.figshare.25237311.v1","title":"Additional file 1 of Evaluating the coding accuracy of type 2 diabetes mellitus among patients with non-alcoholic fatty liver disease","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Type 2 Diabetes Mellitus; Fatty liver; Disease; Diabetes mellitus; Type 2 diabetes; Coding (social sciences)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002207799,0.001006241,0.001024525,0.004177338,0.0009161247,0.00150126,0.001381394,0.001081799,0.8603123],"category_scores_gemma":[0.07390157,0.000553622,0.001196128,0.005070779,0.0003277273,0.001368982,0.001096944,0.0008416554,0.1229033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140046,"about_ca_system_score_gemma":0.002298374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155012,"about_ca_topic_score_gemma":0.01659909,"domain_scores_codex":[0.9983524,0.0003572883,0.000451088,0.0003372619,0.0002945625,0.0002074873],"domain_scores_gemma":[0.9129099,0.06934318,0.005249003,0.003163449,0.008208767,0.001125824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004870955,0.0001651237,0.0121718,0.001905755,0.00009505296,0.00006544462,0.00009569147,0.0003602198,0.00005465762,0.0006363571,0.9714549,0.01250792],"study_design_scores_gemma":[0.01391937,0.0008523187,0.277497,0.01172026,0.0009829241,0.001824938,0.002727576,0.007755086,0.001738729,0.01992055,0.6605877,0.0004734535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000656162,0.00001420475,0.0001792123,0.000102497,0.00003547556,0.0001080392,0.9975242,0.0001191888,0.001261013],"genre_scores_gemma":[0.03110537,0.0001711572,0.005887033,0.001110485,0.0002152408,0.005099622,0.9410378,0.0009442339,0.014429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8603123,"threshold_uncertainty_score":0.1992474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1988358893496766,"score_gpt":0.4188548416032011,"score_spread":0.2200189522535245,"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."}}