{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004113536,0.0001086974,0.0003225468,0.00004459657,0.0001982442,6.346912e-7,0.0002077351,0.0001740455,0.0001290233],"category_scores_gemma":[0.0006643476,0.00004941558,0.00003242154,0.00007440335,0.000151252,0.00006131169,0.0002461876,0.0003437685,0.0000145189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785316,"about_ca_system_score_gemma":0.00053876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002461224,"about_ca_topic_score_gemma":0.003935091,"domain_scores_codex":[0.9981748,0.0003507158,0.0004149266,0.0001755768,0.0004907197,0.0003932415],"domain_scores_gemma":[0.9977413,0.001461178,0.0001418497,0.0002207696,0.0002234324,0.0002114512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005887827,0.00001023323,0.9637656,0.0002756628,0.000009938713,8.294624e-7,0.00232222,3.621505e-9,4.021616e-7,0.00001789316,0.0005430652,0.03299529],"study_design_scores_gemma":[0.002959223,0.0001807365,0.9874638,0.0005517669,0.00001300795,1.314545e-8,0.001466985,1.84036e-7,0.000008417906,0.00002821786,0.007259035,0.00006864774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963578,0.0002846315,0.000007101552,0.001459203,0.0003055958,0.0005335659,0.0001135735,0.00001753372,0.0009210251],"genre_scores_gemma":[0.9987106,0.00004165253,0.00002024096,0.0009792822,0.00008472728,0.00004295941,0.0000293322,0.00001113917,0.00008008834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03292665,"threshold_uncertainty_score":0.2195873,"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."}}