{"id":"W3095846383","doi":"10.1542/hpeds.2020-0067","title":"Pediatric Project ECHO: Implementation of a Virtual Medical Education Program to Support Community Management of Children With Medical Complexity","year":2020,"lang":"en","type":"article","venue":"Hospital Pediatrics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Institute for Clinical Evaluative Sciences; Institute of Health Services and Policy Research","funders":"","keywords":"Medicine; Curriculum; Likert scale; Medical education; Family medicine; Health care; Needs assessment; Nursing; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003236093,0.0004528918,0.0001750929,0.0004392015,0.001121919,0.0006734739,0.001671327,0.0007046564,0.007045968],"category_scores_gemma":[0.005885118,0.0002968345,0.0004711587,0.0002488116,0.0006102473,0.0008635931,0.004615558,0.001102204,0.0006532961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328522,"about_ca_system_score_gemma":0.0141857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335198,"about_ca_topic_score_gemma":0.0130412,"domain_scores_codex":[0.9981796,0.0008883687,0.00007858116,0.0001757663,0.000279592,0.0003981037],"domain_scores_gemma":[0.9944776,0.0007408715,0.0005911214,0.0002993146,0.0004664866,0.003424731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003508099,0.0337085,0.1247623,0.001326237,0.0001620335,0.003544134,0.01063623,0.00545828,0.01226241,0.002571536,0.03921789,0.7628424],"study_design_scores_gemma":[0.007076932,0.06700392,0.716312,0.0009739802,0.0002479426,0.006631596,0.01234302,0.01070575,0.01645824,0.00180131,0.1602273,0.0002180757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760803,0.0002572956,0.005605047,0.002632176,0.0001230837,0.003615534,0.0006252232,0.0005816771,0.0104797],"genre_scores_gemma":[0.9179955,0.000732558,0.06383074,0.001262624,0.0001906989,0.006155414,0.001528458,0.0001106321,0.008193279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007045968,"threshold_uncertainty_score":0.02357107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349954673080334,"score_gpt":0.3402427009956963,"score_spread":0.2867431542648929,"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."}}