{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006137187,0.00008277388,0.0001814866,0.0001095812,0.00001496016,0.00000632495,0.0000287074,0.0000683965,0.00005524479],"category_scores_gemma":[0.00000793934,0.00007386404,0.00003545538,0.0001353522,0.00001770683,0.00009011889,0.000003579752,0.00006716287,0.000004641066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002667958,"about_ca_system_score_gemma":0.000035071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006335621,"about_ca_topic_score_gemma":0.000002538186,"domain_scores_codex":[0.9993524,0.00001544209,0.000202657,0.0001466624,0.0001767635,0.0001060835],"domain_scores_gemma":[0.999678,0.000002626298,0.00008361112,0.0001534265,0.00003576099,0.00004661081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007461321,0.0001150631,0.7882172,0.000005204132,0.00002451646,6.39616e-7,0.0001515401,0.00004777601,0.2096643,0.0002782708,0.00001381681,0.001407001],"study_design_scores_gemma":[0.002375492,0.0001792434,0.9812284,0.00004916252,0.00005366172,0.00002645347,0.00001906928,0.0005637707,0.0153518,0.00007514042,0.000009871539,0.00006797733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976566,0.00001337777,0.0008036605,0.0001009408,0.00006296708,0.0003057043,0.000004371328,0.00003690069,0.001015487],"genre_scores_gemma":[0.9994059,0.000001072515,0.0002844184,0.00009090408,0.000119618,0.00000362205,0.00007535785,0.000008042322,0.00001108314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943125,"threshold_uncertainty_score":0.3012088,"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."}}