{"id":"W2012504376","doi":"10.1161/circulationaha.108.806307","title":"Predictors of Cerebral Arteriopathy in Children With Arterial Ischemic Stroke","year":2009,"lang":"en","type":"article","venue":"Circulation","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":331,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Health Canada; National Institutes of Health","keywords":"Medicine; Cardiology; Arterial Ischemic Stroke; Stroke (engine); Internal medicine; Ischemic stroke; Cerebral atherosclerosis; Cerebral arteries; Ischemia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005575827,0.0003542175,0.0002813599,0.0008622092,0.0003636161,0.0005181118,0.0003063535,0.0003413694,0.001473621],"category_scores_gemma":[0.004375416,0.0002401691,0.0003391564,0.001052608,0.000350713,0.0004181941,0.000331667,0.0008677585,0.0001774973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984458,"about_ca_system_score_gemma":0.0006208461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008046871,"about_ca_topic_score_gemma":0.007260364,"domain_scores_codex":[0.9995794,0.00008792682,0.0000531526,0.00006873342,0.0001051469,0.00010576],"domain_scores_gemma":[0.9967265,0.0008353099,0.001774534,0.00007095849,0.0002307492,0.0003618691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001075456,0.000003740845,0.9996487,0.00000176673,0.000004650923,0.00003986392,0.00001230669,0.00002285334,0.00001222431,0.000003603881,0.00003251412,0.0002069837],"study_design_scores_gemma":[0.000002183355,0.00003174883,0.999061,0.000005570682,0.00001207258,0.0005362863,0.00007436763,0.0001627508,0.00004205684,0.000009217653,0.00006103608,0.000001739408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992483,0.0002095108,0.00005086891,0.00005859953,0.00000391073,0.000004430372,0.000183721,0.000005478778,0.0002351704],"genre_scores_gemma":[0.9994457,0.0001465661,0.00008272746,0.000008859567,0.00001072672,0.000005025534,0.0002688813,0.000001864907,0.00002966897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008046871,"threshold_uncertainty_score":0.01600003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001060166529411,"score_gpt":0.2257597385833653,"score_spread":0.2157491369180712,"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."}}