{"id":"W2756249569","doi":"10.1016/j.pediatrneurol.2017.08.009","title":"The Utility of Collaterals as a Biomarker in Pediatric Unilateral Intracranial Arteriopathy","year":2017,"lang":"en","type":"article","venue":"Pediatric Neurology","topic":"Moyamoya disease diagnosis and treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Digital subtraction angiography; Collateral circulation; Magnetic resonance imaging; Asymptomatic; Stroke (engine); Radiology; Neuroimaging; Univariate analysis; Magnetic resonance angiography; Angiography; Multivariate analysis; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001109093,0.0005958186,0.0005297324,0.001637943,0.0003079717,0.001215522,0.0003617999,0.0007969418,0.0008317505],"category_scores_gemma":[0.005760291,0.0002894759,0.0003429682,0.0009454789,0.0006719807,0.001337246,0.0003520121,0.0009796713,0.0002017595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322547,"about_ca_system_score_gemma":0.0006198596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262069,"about_ca_topic_score_gemma":0.0013341,"domain_scores_codex":[0.9994063,0.0001889081,0.00007779078,0.00008062399,0.0001457963,0.0001004808],"domain_scores_gemma":[0.9963826,0.001426693,0.001162563,0.0001428669,0.0005133275,0.0003719087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003252016,0.00007156256,0.9817192,0.00004901048,0.00004615877,0.00265641,0.00009597735,0.0003500467,0.00419625,0.0002984611,0.000183669,0.01000819],"study_design_scores_gemma":[0.00002820634,0.0009564508,0.9633042,0.0001846557,0.0002931579,0.01614408,0.000652385,0.006232963,0.009100475,0.0009728089,0.002101111,0.00002947537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915807,0.00500788,0.0007885844,0.0002753741,0.00004080568,0.00001565042,0.0001672368,0.00003145674,0.002092344],"genre_scores_gemma":[0.9974766,0.001194099,0.0009944944,0.00004588175,0.00005069476,0.00001129086,0.00008648928,0.000007012179,0.0001334369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001637943,"threshold_uncertainty_score":0.005865514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826684679492073,"score_gpt":0.2937936482831771,"score_spread":0.2755268014882564,"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."}}