{"id":"W3037313095","doi":"10.2147/clep.s256846","title":"<p>Methods for Measuring the Time of Transfer from Pediatric to Adult Care for Chronic Conditions Using Administrative Data: A Scoping Review</p>","year":2020,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital; Children's Hospital of Eastern Ontario; Institute for Clinical Evaluative Sciences; Hospital for Sick Children","funders":"Ministère de la Santé; Ministère de la Santé et des Services sociaux","keywords":"Medicine; Adult care; Health care; Transfer (computing); Intensive care medicine; Gerontology; Computer science; Young adult","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.175201,0.001810129,0.003743183,0.04014681,0.002816096,0.01011746,0.004725724,0.004135124,0.005310321],"category_scores_gemma":[0.4262075,0.002382417,0.009406616,0.04398165,0.002997089,0.008432077,0.005749429,0.002581298,0.001204831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01094374,"about_ca_system_score_gemma":0.04513013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712491,"about_ca_topic_score_gemma":0.05334604,"domain_scores_codex":[0.8463,0.07188322,0.05384604,0.00590681,0.02071686,0.00134698],"domain_scores_gemma":[0.487355,0.3846989,0.05911303,0.01894331,0.0487856,0.001104151],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002670186,0.0001301434,0.02189295,0.5520414,0.008450825,0.0002318584,0.004637646,0.0009554036,0.0004015914,0.01309825,0.02503721,0.3728556],"study_design_scores_gemma":[0.0001568129,0.0002178203,0.02392521,0.8641338,0.01173084,0.0002622145,0.003349263,0.000877245,0.0009638981,0.004163385,0.0900592,0.0001603082],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007283149,0.8637835,0.05221371,0.01532552,0.002385818,0.02960544,0.01463709,0.000260042,0.0145058],"genre_scores_gemma":[0.08158883,0.6249788,0.1943253,0.00423429,0.000916645,0.08436358,0.007134367,0.0002059435,0.0022522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.824799,"threshold_uncertainty_score":0.9265625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6859905109983805,"score_gpt":0.6573797700767444,"score_spread":0.02861074092163607,"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."}}