{"id":"W3023324954","doi":"10.1210/jendso/bvaa046.1779","title":"MON-118 Reducing Unnecessary Repeat HbA1c Testing in a Tertiary Academic Hospital","year":2020,"lang":"en","type":"article","venue":"Journal of the Endocrine Society","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Reimbursement; Glycated hemoglobin; Quality management; Primary care; Test (biology); Internal medicine; Family medicine; Emergency medicine; Diabetes mellitus; Type 2 diabetes; Health care; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002853385,0.0003498139,0.0003286742,0.0006946638,0.002274854,0.001481439,0.00159253,0.000541878,0.007831994],"category_scores_gemma":[0.00671317,0.0003150982,0.0005247366,0.001484965,0.0008539842,0.0004517208,0.003312928,0.0007546991,0.0005087832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03020028,"about_ca_system_score_gemma":0.07400417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3614269,"about_ca_topic_score_gemma":0.6054853,"domain_scores_codex":[0.9972895,0.0008099122,0.0001315651,0.000165002,0.0005319294,0.001072064],"domain_scores_gemma":[0.9878846,0.0006776938,0.001328084,0.0003177915,0.001831089,0.007960799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002244697,0.005047167,0.7134103,0.001415663,0.0002598269,0.001271006,0.005806608,0.005961499,0.003231769,0.002094483,0.06175803,0.197499],"study_design_scores_gemma":[0.0007873338,0.004602031,0.9426268,0.0004929941,0.0001872109,0.0003076913,0.01015155,0.01454491,0.001612769,0.0007039814,0.02390523,0.00007759153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759251,0.0007447905,0.00188336,0.007823204,0.0001085192,0.001325611,0.001123088,0.0003645786,0.01070167],"genre_scores_gemma":[0.9923761,0.000305962,0.003616935,0.001080452,0.00003746665,0.0002634312,0.0005167036,0.00001664429,0.001786193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3614269,"threshold_uncertainty_score":0.7186463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236164206649977,"score_gpt":0.4365607846466116,"score_spread":0.3129443639816138,"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."}}