{"id":"W4322706630","doi":"10.1542/peds.144.2ma5.465","title":"Anticipating pediatric patient transfers from intermediate to intensive care","year":2019,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Intensive care medicine; Intensive care; Pediatrics; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001576535,0.0003568424,0.0005885723,0.0006733632,0.0005070947,0.001908822,0.000588212,0.001730416,0.005452894],"category_scores_gemma":[0.01615741,0.0003819171,0.0003904981,0.0006247009,0.0003503731,0.001258053,0.001004714,0.003256148,0.0003365254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702718,"about_ca_system_score_gemma":0.005038128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01820443,"about_ca_topic_score_gemma":0.02207925,"domain_scores_codex":[0.9990481,0.0003981136,0.00005274442,0.0000818777,0.00009603462,0.0003232307],"domain_scores_gemma":[0.9908302,0.0059012,0.001725804,0.00006088954,0.0004300223,0.001051831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001123988,0.001278114,0.3629892,0.000247071,0.0002439271,0.003092447,0.0005203024,0.4867743,0.0005482026,0.05129784,0.03745538,0.05442918],"study_design_scores_gemma":[0.0001289875,0.0006845516,0.1390298,0.0002384335,0.0001378124,0.0005654821,0.005035785,0.7760376,0.001091296,0.07003731,0.006954657,0.00005836024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895585,0.001611653,0.02980831,0.05921194,0.0003255112,0.000209504,0.002292012,0.000119528,0.01686298],"genre_scores_gemma":[0.9956411,0.0004537516,0.001632124,0.0003085277,0.00008894126,0.00002816227,0.0003888917,0.000005267694,0.001453246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01820443,"threshold_uncertainty_score":0.03619695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187233065534049,"score_gpt":0.2536880153326164,"score_spread":0.2218156846772759,"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."}}