{"id":"W2299669888","doi":"10.1097/mlr.0000000000000493","title":"The Interplay Between Continuity of Care, Multimorbidity, and Adverse Events in Patients With Diabetes","year":2016,"lang":"en","type":"article","venue":"Medical Care","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alliance for Canadian Health Outcomes Research in Diabetes","funders":"","keywords":"Medicine; Multimorbidity; Diabetes mellitus; Odds ratio; Logistic regression; Odds; Continuity of care; Comorbidity; Primary care; Emergency medicine; Internal medicine; Pediatrics; Health care; Family medicine","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":[0.002871117,0.0001952555,0.0003590386,0.0006456172,0.0004344665,0.0009806639,0.0003819839,0.0005143988,0.001042131],"category_scores_gemma":[0.0178391,0.0002090122,0.0005444532,0.001167249,0.0002848961,0.0007844428,0.0007237424,0.0009366808,0.00006746854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000619924,"about_ca_system_score_gemma":0.0007951353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005605821,"about_ca_topic_score_gemma":0.006065767,"domain_scores_codex":[0.9977494,0.001193917,0.0002327453,0.000211418,0.0003824191,0.000230046],"domain_scores_gemma":[0.986918,0.004221799,0.006799879,0.0003067435,0.0005874613,0.001166058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006607173,0.00003383073,0.9977173,0.00001007077,0.00007799346,0.00001758875,0.00003214409,0.00008020567,0.00001044391,0.0000148038,0.0000314455,0.001908241],"study_design_scores_gemma":[0.00001102743,0.00008678558,0.998818,0.00002094613,0.00005941505,0.0001021947,0.0001092592,0.0006473932,0.00001975971,0.00006517549,0.00005578159,0.000004202986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971873,0.00176378,0.0001406556,0.0004338144,0.00001046056,0.000007521871,0.0001275322,0.000003404373,0.0003255034],"genre_scores_gemma":[0.9995627,0.0001817259,0.0001214312,0.00003261744,0.00001889619,0.000003483626,0.0000600235,5.052042e-7,0.00001863222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005605821,"threshold_uncertainty_score":0.01518404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505300566771353,"score_gpt":0.3776288513428888,"score_spread":0.3625758456751753,"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."}}