{"id":"W2913926020","doi":"10.2196/12172","title":"Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health information exchange; Information exchange; Medicine; Knowledge management; Diabetes mellitus; Computer science; Health information; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02878071,0.0004770933,0.0008065903,0.006589703,0.0009571019,0.002624527,0.001669501,0.001205399,0.002302723],"category_scores_gemma":[0.1001736,0.0002758077,0.00156605,0.01074386,0.0009446182,0.002240539,0.002663448,0.001341606,0.00027361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933547,"about_ca_system_score_gemma":0.00140092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548159,"about_ca_topic_score_gemma":0.006183084,"domain_scores_codex":[0.9787291,0.013133,0.002345694,0.001943255,0.003029559,0.0008193351],"domain_scores_gemma":[0.8025971,0.1470871,0.03441265,0.008597438,0.004998858,0.002306792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795348,0.0001654277,0.9919726,0.00005368613,0.0003145844,0.00008820917,0.0004009261,0.002313171,0.00005599072,0.0006907749,0.0003968919,0.003368317],"study_design_scores_gemma":[0.00003742966,0.0001405554,0.9256452,0.0000732905,0.0002631072,0.0003112588,0.002007867,0.06879084,0.000246649,0.001454634,0.0009952135,0.00003392403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936233,0.0003788764,0.001469809,0.0004564002,0.000007391388,0.00008301913,0.003233274,0.00001701206,0.0007310002],"genre_scores_gemma":[0.9954491,0.00008760937,0.0009904973,0.00003060261,0.00001566229,0.00005007484,0.003309032,0.00000320108,0.00006414438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02878071,"threshold_uncertainty_score":0.1522088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973722153516343,"score_gpt":0.2959247839182603,"score_spread":0.2761875623830969,"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."}}