{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1648497,0.001209976,0.001636976,0.01130456,0.008515606,0.006115479,0.01104758,0.003934246,0.001978114],"category_scores_gemma":[0.1450045,0.001080859,0.0023165,0.007496111,0.004720571,0.002432268,0.008184507,0.007143208,0.0006363274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07929022,"about_ca_system_score_gemma":0.3548567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8176292,"about_ca_topic_score_gemma":0.8132398,"domain_scores_codex":[0.9095322,0.02665938,0.01843893,0.004925405,0.0356721,0.004771904],"domain_scores_gemma":[0.6391124,0.02162709,0.01065449,0.009801315,0.3018169,0.01698787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002713175,0.0005233504,0.05703984,0.004320682,0.0005085758,0.001432507,0.01864319,0.009340746,0.006153559,0.06050458,0.2938994,0.5473622],"study_design_scores_gemma":[0.0003523076,0.0004942573,0.1388213,0.01569987,0.0006272732,0.001579482,0.01309906,0.02018666,0.005915768,0.03252247,0.7696021,0.001099452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04601469,0.04981817,0.2963198,0.5027044,0.01857102,0.01412622,0.005603358,0.001245311,0.06559707],"genre_scores_gemma":[0.2668984,0.01921322,0.6715536,0.02337413,0.001991977,0.004322696,0.004563553,0.0003695746,0.00771288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1823708,"threshold_uncertainty_score":0.871819,"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."}}