{"id":"W3009648796","doi":"10.1002/jdn.10022","title":"Benefits of hypothermia in neonatal arterial ischemic strokes: A preclinical study","year":2020,"lang":"en","type":"article","venue":"International Journal of Developmental Neuroscience","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Health Canada; Fondation des Etoiles; Fondation de l'Hôpital de Montréal pour enfants; Région Auvergne-Rhône-Alpes; Canadian Institutes of Health Research; Stars Foundation; Fondation Brain Canada; Heart and Stroke Foundation of Canada","keywords":"Neuroprotection; Medicine; Hypothermia; Ischemia; Putamen; Magnetic resonance imaging; Hypoxia (environmental); Positron emission tomography; Hypoxic Ischemic Encephalopathy; Cardiology; Anesthesia; Internal medicine; Encephalopathy; Radiology","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":[0.0002049035,0.0001020929,0.000270903,0.0001445419,0.00001390529,0.00001351613,0.000432243,0.00003467302,0.00004019093],"category_scores_gemma":[0.0005892118,0.00008472576,0.00007643487,0.0001922963,0.0001368253,0.0002031557,0.0001526074,0.0002422386,0.000006194034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004483167,"about_ca_system_score_gemma":0.0002271725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002468448,"about_ca_topic_score_gemma":0.000002079756,"domain_scores_codex":[0.9982736,0.00003436626,0.0006974636,0.0002045508,0.0006632822,0.000126793],"domain_scores_gemma":[0.9993273,0.00007121461,0.0002795573,0.00004676181,0.0001439238,0.0001312371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003362606,0.0009326698,0.3734684,0.00001874906,0.00004350586,0.001731984,0.004147075,0.00007498111,0.5835738,0.00003584152,0.0001128417,0.03249757],"study_design_scores_gemma":[0.005101715,0.001615941,0.9474375,0.0001112525,0.00001416446,0.002897381,0.0009384697,0.00008428162,0.04066901,0.00002089381,0.0009867951,0.0001225533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974568,0.00004866832,0.00008168139,0.001237608,0.0007504526,0.0001434809,0.00001416461,0.000005276373,0.0002618585],"genre_scores_gemma":[0.9972714,0.00001748434,0.001227373,0.00128525,0.0001567569,0.000001752971,0.000001252722,0.00000743236,0.00003135823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5739691,"threshold_uncertainty_score":0.3455016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233503697459092,"score_gpt":0.3178105073692221,"score_spread":0.2654754703946312,"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."}}