{"id":"W2316623747","doi":"10.12927/hcpol.2016.24536","title":"Impact of Type of Medical Specialist Involvement in Chronic Illness Care on Emergency Department Use","year":2016,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Emergency department; Primary care; Emergency medicine; Pulmonary disease; Type 2 diabetes; Logistic regression; Diabetes mellitus; Family medicine; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003646202,0.0002034939,0.0004583848,0.0007366628,0.00005875542,0.00001002719,0.0003155,0.0002638682,0.000358098],"category_scores_gemma":[0.000348954,0.0001380815,0.0001237099,0.0009080888,0.00007688116,0.0001983561,0.0001603256,0.0001553797,0.00005619875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101511,"about_ca_system_score_gemma":0.00115926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3070048,"about_ca_topic_score_gemma":0.07398713,"domain_scores_codex":[0.9976989,0.00005251597,0.0008392663,0.0003037736,0.0005784478,0.000527092],"domain_scores_gemma":[0.9986722,0.00003925266,0.0003894266,0.000471948,0.0003646539,0.00006254973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001178559,0.0001867463,0.5617218,0.002477302,0.00004537978,0.00002658748,0.0003943616,0.000004437953,0.0001862331,0.2131138,0.002211735,0.2195138],"study_design_scores_gemma":[0.002228002,0.000847717,0.890316,0.002004829,0.00001436477,0.000003915314,0.0005021776,0.00005224717,0.0001880377,0.002518287,0.1008259,0.0004985526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860666,0.0005428203,0.000008884451,0.01170079,0.0005292462,0.0005512757,0.00004994269,0.00005112565,0.0004992937],"genre_scores_gemma":[0.9974589,0.0006289184,0.000005096994,0.0003375865,0.001448286,0.00003452822,0.00002650068,0.00002937887,0.00003085466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3285942,"threshold_uncertainty_score":0.9429102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06425867089121556,"score_gpt":0.3840371631014232,"score_spread":0.3197784922102076,"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."}}