{"id":"W2886554737","doi":"10.5339/qfarc.2018.hbpd986","title":"Prioritizing Access to the National Diabetes Center NDC Services Based on Clinical Need","year":2018,"lang":"en","type":"article","venue":"","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Medicine; Medical emergency; PDCA; Health care; Multidisciplinary approach; Quality management; Emergency medicine; Family medicine; Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005363352,0.0003844108,0.0004220316,0.003708831,0.001765416,0.003622542,0.00113844,0.0004882933,0.01290582],"category_scores_gemma":[0.01643104,0.0002762077,0.0007888587,0.002261318,0.0003052625,0.001802493,0.002781789,0.001304789,0.001016987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005424725,"about_ca_system_score_gemma":0.01324237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03392189,"about_ca_topic_score_gemma":0.06586461,"domain_scores_codex":[0.9958548,0.001590888,0.0004329025,0.0003020554,0.0009987112,0.0008204749],"domain_scores_gemma":[0.9923695,0.002059492,0.000908732,0.0001350946,0.001829793,0.00269734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001401793,0.001506533,0.4676313,0.002336414,0.0001682091,0.000821393,0.005983049,0.004376931,0.003086688,0.004653683,0.08570276,0.4223312],"study_design_scores_gemma":[0.0008719701,0.003468181,0.7681476,0.003390543,0.0004079412,0.0008987712,0.04935841,0.03591868,0.004611741,0.008491436,0.1241266,0.0003080106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814941,0.004152743,0.01900716,0.0524811,0.000686909,0.00812128,0.004398277,0.00147647,0.09473511],"genre_scores_gemma":[0.9440209,0.002137947,0.04409717,0.001944475,0.0001346208,0.001066022,0.00170219,0.0001030414,0.004793696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03392189,"threshold_uncertainty_score":0.06744891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004922953557809,"score_gpt":0.4299778088117613,"score_spread":0.3294855134559804,"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."}}