{"id":"W2119605842","doi":"10.1109/ccece.2007.59","title":"An Agent Model of a Diabetic Patient","year":2007,"lang":"en","type":"article","venue":"","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Diabetes mellitus; Blood sugar; Medicine; Disease; Population; Blood pressure; Intensive care medicine; Ethnic group; Computer science; Internal medicine; Endocrinology","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":[0.0006532326,0.0006882391,0.0005337048,0.000524885,0.0005122413,0.002366859,0.001528369,0.001641853,0.008560673],"category_scores_gemma":[0.001614518,0.0003102577,0.0007913532,0.0006183694,0.0006154912,0.001648942,0.001355235,0.001358892,0.001147604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126787,"about_ca_system_score_gemma":0.001446989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136098,"about_ca_topic_score_gemma":0.006295409,"domain_scores_codex":[0.9995284,0.0001547536,0.00003666596,0.0001149892,0.0001157869,0.0000493883],"domain_scores_gemma":[0.9994703,0.0002501922,0.00006451353,0.00004959674,0.00009960018,0.00006590551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002812456,0.000194142,0.005770355,0.000170249,0.0001176478,0.001230956,0.0008397439,0.7033895,0.002189394,0.256493,0.005365637,0.02395818],"study_design_scores_gemma":[0.00008224082,0.00008026166,0.0002965093,0.00002325332,0.00004947263,0.0001585903,0.0001005269,0.9594373,0.0003671638,0.0251206,0.01426145,0.00002262151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05343831,0.0005832312,0.8838333,0.004943314,0.0004692501,0.0003226415,0.002776213,0.001085666,0.05254811],"genre_scores_gemma":[0.7286655,0.001390772,0.2131179,0.0007580838,0.0002876534,0.0009035496,0.001965076,0.0001354526,0.05277592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01136098,"threshold_uncertainty_score":0.02863836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501774771720942,"score_gpt":0.3209031709700761,"score_spread":0.2858854232528667,"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."}}