{"id":"W2423426847","doi":"10.1161/strokeaha.116.013953","title":"Fluid-Attenuated Inversion Recovery Vascular Hyperintensity Topography, Novel Imaging Marker for Revascularization in Middle Cerebral Artery Occlusion","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Hyperintensity; Fluid-attenuated inversion recovery; Middle cerebral artery; Stroke (engine); Radiology; Modified Rankin Scale; Lesion; Occlusion; Magnetic resonance imaging; Internal medicine; Surgery; Ischemia; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004250261,0.0002219967,0.0003386491,0.0003586397,0.00007619455,0.00001812929,0.0001219536,0.000103999,0.00008803252],"category_scores_gemma":[0.0002347671,0.0001713903,0.0003219049,0.0002388027,0.00006665817,0.0002239811,0.0001852748,0.000112484,0.00002399646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303723,"about_ca_system_score_gemma":0.0000374274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006193574,"about_ca_topic_score_gemma":0.00001122729,"domain_scores_codex":[0.9983574,0.00003449193,0.0003557913,0.0005122327,0.0003390296,0.000401105],"domain_scores_gemma":[0.9990425,0.00006537851,0.00009406134,0.0005115002,0.0001801947,0.0001064336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006680818,0.0001832394,0.3967033,0.0001734272,0.0002354369,0.00003953982,0.00008510001,0.000006707414,0.5792603,0.00002796693,0.01111822,0.0114987],"study_design_scores_gemma":[0.02516743,0.0004662226,0.8445846,0.00202149,0.0007578249,0.0001169581,0.0007912034,0.01043411,0.05765139,0.0001391233,0.05686549,0.001004184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213447,0.0001145683,0.07306323,0.002275562,0.0004335862,0.001036663,0.00005638834,0.00009847216,0.001576826],"genre_scores_gemma":[0.9893509,0.00008656389,0.006853123,0.001246451,0.0001719287,0.00004257555,0.0001312024,0.00004619803,0.002071053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5216089,"threshold_uncertainty_score":0.6989092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409073159640465,"score_gpt":0.2205843562637197,"score_spread":0.2064936246673151,"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."}}