{"id":"W3107723745","doi":"10.1161/strokeaha.120.030965","title":"Imaging Predictors of Neurologic Outcome After Pediatric Arterial Ischemic Stroke","year":2020,"lang":"en","type":"article","venue":"Stroke","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Arterial Ischemic Stroke; Stroke (engine); Ischemic stroke; Pediatric stroke; Neuroimaging; Cardiology; Internal medicine; Ischemia; Psychiatry","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":[0.0004480639,0.0004159513,0.0003412311,0.0007256171,0.0003178701,0.0005829075,0.0002993368,0.0003275053,0.001186698],"category_scores_gemma":[0.004502606,0.0001557567,0.0003085854,0.000797973,0.0003747624,0.0004377659,0.00032542,0.0006288949,0.0001833792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869101,"about_ca_system_score_gemma":0.0005796874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005847692,"about_ca_topic_score_gemma":0.006496814,"domain_scores_codex":[0.9996862,0.00006277474,0.00003970754,0.00005898469,0.00006943005,0.0000829153],"domain_scores_gemma":[0.9970013,0.0004973505,0.001826696,0.0000918449,0.0002783311,0.0003043744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002008715,0.000006697417,0.9993578,0.000003362247,0.000008418345,0.00006060121,0.00001146449,0.00004259507,0.0000340099,0.000005775313,0.00003253319,0.0004167514],"study_design_scores_gemma":[0.00000150787,0.00003280267,0.9991841,0.00000583635,0.00001393756,0.0004220891,0.0000517766,0.000132649,0.00008249743,0.00001540762,0.00005579655,0.000001629329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989501,0.0002718249,0.00009210237,0.0000514464,0.000004314239,0.000004659012,0.0003399522,0.000005122274,0.0002805787],"genre_scores_gemma":[0.9990836,0.000211771,0.0001214994,0.000009273855,0.000008722786,0.000006094099,0.0005114202,0.000002385605,0.00004527932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005847692,"threshold_uncertainty_score":0.01162732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214289219348094,"score_gpt":0.2560203178402194,"score_spread":0.23459139590541,"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."}}