{"id":"W2305585655","doi":"10.1161/strokeaha.115.011331","title":"Arterial Tortuosity: An Imaging Biomarker of Childhood Stroke Pathogenesis?","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of Manitoba; Children's Hospital of Eastern Ontario; University of Calgary; McMaster University Medical Centre; Stollery Children's Hospital; Hospital for Sick Children; Children's Hospital of Winnipeg; Alberta Children's Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Tortuosity; Arterial dissection; Stroke (engine); Cardiology; Cerebral arteries; Dissection (medical); Pediatric stroke; Internal medicine; Radiology; Anesthesia; Ischemia; Ischemic stroke","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":[0.0007194665,0.0005251644,0.000394788,0.00137886,0.0002628195,0.0008877114,0.0003549923,0.0005702975,0.001434497],"category_scores_gemma":[0.003031119,0.000180171,0.0001898747,0.001306523,0.0004982558,0.000631232,0.000383123,0.0004848258,0.0002337459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656852,"about_ca_system_score_gemma":0.0003894891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053726,"about_ca_topic_score_gemma":0.002577809,"domain_scores_codex":[0.999562,0.0001140235,0.00006536122,0.00009851588,0.00008979569,0.00007018242],"domain_scores_gemma":[0.9970129,0.0004182218,0.001962514,0.00006979905,0.0002541977,0.0002823599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003977962,0.00001235034,0.9956139,0.00002490278,0.00002267582,0.00008700476,0.00004313934,0.00006192196,0.0005478634,0.00003832854,0.00007396346,0.003434252],"study_design_scores_gemma":[0.000002182008,0.0001001097,0.9972727,0.00004154813,0.00003914593,0.001072078,0.0001383185,0.0002585167,0.0006508065,0.00006387067,0.0003566942,0.00000417927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945409,0.003343861,0.0006289102,0.0001887897,0.00001450347,0.0000161838,0.0003034088,0.00002427831,0.0009391849],"genre_scores_gemma":[0.9970138,0.001063723,0.001430951,0.00004204694,0.00003112867,0.00001683266,0.0002447248,0.000004634313,0.0001520986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002053726,"threshold_uncertainty_score":0.004798889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039692755121472,"score_gpt":0.2669890871693661,"score_spread":0.2465921596181514,"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."}}