{"id":"W2775304742","doi":"10.1161/strokeaha.117.019508","title":"DWI-ASPECTS (Diffusion-Weighted Imaging–Alberta Stroke Program Early Computed Tomography Scores) and DWI-FLAIR (Diffusion-Weighted Imaging–Fluid Attenuated Inversion Recovery) Mismatch in Thrombectomy Candidates","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Notre-Dame","funders":"","keywords":"Fluid-attenuated inversion recovery; Medicine; Inter-rater reliability; Magnetic resonance imaging; Stroke (engine); Nuclear medicine; Radiology; Diffusion MRI; Psychology; Rating scale","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":[0.01186506,0.0004059678,0.0005370951,0.001316151,0.000437875,0.0008450348,0.0006298673,0.0006304891,0.0008289638],"category_scores_gemma":[0.05851966,0.0003301531,0.0004579393,0.0007509617,0.000662146,0.0007043385,0.001295534,0.000482751,0.000371135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180414,"about_ca_system_score_gemma":0.0003790773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087651,"about_ca_topic_score_gemma":0.001782732,"domain_scores_codex":[0.9921001,0.004288423,0.001325286,0.0008369095,0.001161173,0.000288145],"domain_scores_gemma":[0.9673018,0.01492955,0.01187286,0.001420137,0.003613436,0.0008621778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001171617,0.00005543036,0.986976,0.0001202873,0.0001485144,0.0002091728,0.001776055,0.0002155836,0.0008182055,0.00003806161,0.0002094655,0.008261708],"study_design_scores_gemma":[0.00005848672,0.0006536638,0.9925832,0.00006283265,0.0001072285,0.001461437,0.001308542,0.001517426,0.001682111,0.0001913949,0.0003460924,0.00002757082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987687,0.0002740879,0.0004451898,0.00004045736,0.00001015212,0.00003451695,0.00007017992,0.00000554832,0.0003510789],"genre_scores_gemma":[0.9993907,0.00005656026,0.0003920509,0.00001500648,0.00001075999,0.00002389619,0.00005976159,0.000002264206,0.0000491361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186506,"threshold_uncertainty_score":0.06274921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00707096056613113,"score_gpt":0.2426280671743914,"score_spread":0.2355571066082602,"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."}}