{"id":"W2164383792","doi":"","title":"The cost of major comorbidity in people with diabetes mellitus.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Comorbidity; Diabetes mellitus; Formulary; Medical prescription; Health care; Medical record; Population; Family medicine; Emergency medicine; Gerontology; Environmental health; Internal medicine; Nursing; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119499,0.0001191785,0.0003945015,0.00006005034,0.00005398724,0.00001764442,0.00009833299,0.00005328041,0.00001804751],"category_scores_gemma":[0.0003563411,0.00007311036,0.0001306971,0.0003220005,0.0001332424,0.00004843471,0.00001713675,0.0001590351,0.000006593542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254002,"about_ca_system_score_gemma":0.00005403312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000950833,"about_ca_topic_score_gemma":0.003019137,"domain_scores_codex":[0.9987137,0.0001227172,0.0002095927,0.0001823251,0.0003329008,0.0004388162],"domain_scores_gemma":[0.9991358,0.0001239476,0.00006514224,0.000479453,0.00007180944,0.0001238654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007774574,0.0002002464,0.2488324,0.0001198552,0.0003222687,0.00001052262,0.0001368376,0.00001086861,0.00001036913,0.0004254183,0.0004745734,0.7493789],"study_design_scores_gemma":[0.001728118,0.00004174709,0.9332051,0.00002400068,0.0001102806,0.000003844623,0.00009389044,0.000006950954,0.007550968,0.0000971898,0.05704452,0.00009340323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817005,0.005530397,0.000037641,0.0003524483,0.0001385717,0.001874597,0.000007138812,0.00002764271,0.01033108],"genre_scores_gemma":[0.9976334,0.0002818284,0.00008791,0.0001017207,0.00005211583,0.001438582,0.000006448371,0.00002032343,0.0003776742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7492855,"threshold_uncertainty_score":0.2981354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286478737525196,"score_gpt":0.205025250922181,"score_spread":0.1921604635469291,"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."}}