{"id":"W4295221099","doi":"10.1016/j.ensci.2022.100424","title":"Discussing brain magnetic resonance imaging results for neonates with hypoxic-ischemic encephalopathy treated with hypothermia: A challenge for clinicians and parents","year":2022,"lang":"en","type":"article","venue":"eNeurologicalSci","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; McGill University; Jewish General Hospital; McGill University Health Centre; Montreal Clinical Research Institute; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Hypothermia; Magnetic resonance imaging; Encephalopathy; Hypoxic Ischemic Encephalopathy; Neuroimaging; Hypoxia (environmental); Neonatal encephalopathy; Anesthesia; Internal medicine; Psychiatry; Radiology; Oxygen","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003665538,0.0002654116,0.000439593,0.00008009946,0.0003244893,0.00001652399,0.0001500588,0.00006531928,0.00001927589],"category_scores_gemma":[0.0003124619,0.0001622945,0.00007335383,0.0001825098,0.0003176415,0.00005869128,0.0001099261,0.0002871451,0.000001025329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125381,"about_ca_system_score_gemma":0.00004111805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005850578,"about_ca_topic_score_gemma":0.000008659883,"domain_scores_codex":[0.9980639,0.0001111234,0.0003251241,0.0008150434,0.0002032901,0.0004815043],"domain_scores_gemma":[0.9985699,0.0008375106,0.0001423265,0.0002690004,0.00005457718,0.0001266958],"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":[0.0697061,0.001347702,0.05156114,0.0002676166,0.00006104561,0.00277826,0.002080254,0.00007563043,0.03759912,0.0003484781,0.001704767,0.8324699],"study_design_scores_gemma":[0.07788447,0.1065902,0.3271208,0.0003696902,0.0007385092,0.008246943,0.003312712,0.00884872,0.003898918,0.00585931,0.4547636,0.002366142],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717498,0.006990954,0.0002851672,0.01748982,0.00006271798,0.001715759,0.0003732388,0.000159866,0.001172684],"genre_scores_gemma":[0.9915984,0.00009184032,0.002189502,0.004078561,0.00008672525,0.0007784211,0.0000862024,0.0000480158,0.0010423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301038,"threshold_uncertainty_score":0.6618176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887912095715832,"score_gpt":0.2552611532780412,"score_spread":0.2363820323208828,"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."}}