{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002123078,0.0001586273,0.0002375866,0.0007824953,0.000357575,0.0008805492,0.0004791723,0.0005849479,0.00501819],"category_scores_gemma":[0.01703624,0.0002219897,0.0005779667,0.0008712005,0.0004638837,0.0005496238,0.001036469,0.000721568,0.0002781704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310692,"about_ca_system_score_gemma":0.0008893827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008374226,"about_ca_topic_score_gemma":0.01304289,"domain_scores_codex":[0.9963554,0.00181014,0.0003556034,0.0003352323,0.0005213846,0.0006221635],"domain_scores_gemma":[0.9743159,0.009060064,0.01113668,0.0005130096,0.0009057741,0.004068519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008718314,0.00004601727,0.9979511,0.00001348001,0.00003417662,0.00008405449,0.00007815195,0.00004425611,0.00003822931,0.0000193718,0.0001184799,0.00148555],"study_design_scores_gemma":[0.000004770216,0.00005101388,0.9992637,0.00001590635,0.00001123404,0.0002545744,0.0001799915,0.00009655175,0.00001401994,0.00001022676,0.00009631991,0.000001660476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977797,0.0003914839,0.00005876634,0.0004972733,0.000009969191,0.000007437129,0.0001937427,0.000002830056,0.001058805],"genre_scores_gemma":[0.999655,0.00007336768,0.00003958093,0.00004489087,0.00001705626,0.000002409203,0.00005770361,8.907791e-7,0.0001091165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008374226,"threshold_uncertainty_score":0.01678759,"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."}}