{"id":"W2611746428","doi":"10.2196/medinform.6862","title":"Design, Implementation, and Evaluation of Self-Describing Diabetes Medical Records: A Pilot Study","year":2017,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mashhad University of Medical Sciences","keywords":"Computer science; Medical record; Diabetes mellitus; Medicine; Medical physics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03470507,0.0009052981,0.0007087641,0.001421536,0.001415081,0.001583552,0.001933246,0.001396748,0.003976809],"category_scores_gemma":[0.04201693,0.0009188355,0.000836448,0.0006024684,0.0009760862,0.001660628,0.001632064,0.0009921659,0.0009548308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002610875,"about_ca_system_score_gemma":0.005193424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879189,"about_ca_topic_score_gemma":0.003140886,"domain_scores_codex":[0.9828138,0.01189175,0.001399934,0.001034385,0.001663315,0.001196783],"domain_scores_gemma":[0.9386547,0.03355657,0.003160596,0.005665243,0.01441749,0.004545357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.008936892,0.2062702,0.1531513,0.004152176,0.0002226948,0.002498871,0.1128393,0.002310111,0.0433093,0.0009723124,0.003655413,0.4616815],"study_design_scores_gemma":[0.01226314,0.44081,0.3352561,0.001042796,0.0009264328,0.00148615,0.09470689,0.01354263,0.06557634,0.0009142535,0.03301998,0.0004552608],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703971,0.00004381302,0.007744681,0.0001379543,0.00002724858,0.01960939,0.0002141248,0.0002092516,0.001616458],"genre_scores_gemma":[0.8908967,0.0001650682,0.07640392,0.0003070305,0.00003703178,0.02859883,0.0005107966,0.0001081054,0.002972544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03470507,"threshold_uncertainty_score":0.1835402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.238530493428335,"score_gpt":0.5210610627830713,"score_spread":0.2825305693547363,"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."}}