{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000422339,0.00008968987,0.00024861,0.0004598539,0.00009070971,0.00004702514,0.0001251614,0.0001027478,0.00002615116],"category_scores_gemma":[0.00004223997,0.00005489454,0.00006654412,0.0007383039,0.00003420776,0.0005012215,0.00002648304,0.00007328622,0.00001160411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004677219,"about_ca_system_score_gemma":0.00005003765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001638481,"about_ca_topic_score_gemma":0.0002938939,"domain_scores_codex":[0.9989616,0.000008966361,0.0006651669,0.00005493881,0.0001217793,0.0001875892],"domain_scores_gemma":[0.9991235,0.0001333523,0.0003978958,0.0002441703,0.00008280871,0.00001824363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009847789,0.0002574713,0.4545895,0.002137338,0.0001261195,3.472868e-8,0.01440971,0.0001230399,0.000001209039,0.0364652,0.001107069,0.4907735],"study_design_scores_gemma":[0.002077053,0.0004032424,0.2213216,0.0001991984,0.00007240311,5.685742e-7,0.01182347,0.3694832,0.000004483594,0.002831396,0.3915455,0.0002378484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867939,0.0000709766,0.002331159,0.008715983,0.00004984242,0.001372067,0.00002676112,0.00004070268,0.0005985946],"genre_scores_gemma":[0.9966999,0.00001674438,0.000179554,0.00249948,0.00003313996,0.0003611935,0.0002027378,0.000003659891,0.000003537982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905356,"threshold_uncertainty_score":0.2238534,"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."}}