{"id":"W4407397578","doi":"10.1016/j.pediatrneurol.2025.01.021","title":"Consensus Approach for Standardization of the Timing of Brain Magnetic Resonance Imaging and Classification of Brain Injury in Neonates With Neonatal Encephalopathy/Hypoxic-Ischemic Encephalopathy: A Canadian Perspective","year":2025,"lang":"en","type":"article","venue":"Pediatric Neurology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children; B.C. Women's Hospital & Health Centre; SickKids Foundation; Montreal Children's Hospital; University of Toronto; University of Calgary; Mount Sinai Hospital; Centre hospitalier universitaire de Québec; University of Manitoba; Université Laval; University of Alberta","funders":"","keywords":"Medicine; Encephalopathy; Hypoxic Ischemic Encephalopathy; Magnetic resonance imaging; Neonatal encephalopathy; Intensive care medicine; Radiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498418,0.0001459475,0.0003763828,0.0004296234,0.00004723284,0.000002753867,0.0001306671,0.000105588,0.000003333553],"category_scores_gemma":[0.0009480403,0.00011782,0.00004887116,0.0007121996,0.0004891383,0.00003553396,0.00005356392,0.0002141507,8.026888e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004617618,"about_ca_system_score_gemma":0.0006324458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156285,"about_ca_topic_score_gemma":0.00081223,"domain_scores_codex":[0.9986897,0.0001354644,0.0004078111,0.0003835742,0.0001371524,0.0002462951],"domain_scores_gemma":[0.9986863,0.0005376642,0.0002268906,0.0002254562,0.0002681943,0.00005546493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0035362,0.000157441,0.875265,0.0007490678,0.00001853201,0.00005334373,0.004162744,0.00007974147,0.06773575,0.006178126,0.0005499205,0.04151411],"study_design_scores_gemma":[0.004400729,0.001372644,0.9746236,0.00006947096,0.0001912054,0.0003219806,0.001638322,0.008185821,0.005943956,0.002021899,0.000994986,0.0002353648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832945,0.006886306,0.001747144,0.005932432,0.00008026274,0.0009701319,0.0001879383,0.00001062993,0.000890589],"genre_scores_gemma":[0.9979751,0.00007440436,0.001205301,0.0005888803,0.00003257501,0.00004613492,0.00001535753,0.00001367603,0.00004854227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0993586,"threshold_uncertainty_score":0.4804559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007924465930916978,"score_gpt":0.2448162950959043,"score_spread":0.2368918291649874,"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."}}