{"id":"W2891213421","doi":"10.1111/jon.12564","title":"Baseline ASPECTS and e‐ASPECTS Correlation with Infarct Volume and Functional Outcome in Patients Undergoing Mechanical Thrombectomy","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Perfusion scanning; Stroke (engine); Internal medicine; Infarction; Correlation; Acute stroke; Perfusion; Radiology; Nuclear medicine; Myocardial infarction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005050309,0.0002323554,0.0003281907,0.0005605163,0.0001983178,0.0004696487,0.0001854065,0.0004043145,0.001564229],"category_scores_gemma":[0.003659499,0.0001761791,0.0002255567,0.0004380305,0.0002573456,0.0003511705,0.0003611851,0.0004034702,0.0002536439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001617927,"about_ca_system_score_gemma":0.0001764999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009134132,"about_ca_topic_score_gemma":0.00105491,"domain_scores_codex":[0.9996594,0.00009755536,0.00005062143,0.00006229358,0.00006731355,0.00006276432],"domain_scores_gemma":[0.9977713,0.0007441239,0.0008788667,0.00009263302,0.0001983336,0.0003148785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866514,0.00002072898,0.9989035,0.000002628947,0.00002541403,0.00004100284,0.00001513027,0.00005730948,0.00009422711,0.00000520269,0.00003383279,0.000614375],"study_design_scores_gemma":[0.000007646823,0.0001442291,0.9992127,0.000001815163,0.00001165464,0.0001815481,0.00003638932,0.0003049558,0.00004493267,0.00001467842,0.00003675677,0.000002666379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995775,0.00005988956,0.00005595485,0.00001476682,0.000002632006,0.000003747298,0.00007352672,0.000002170176,0.0002098476],"genre_scores_gemma":[0.999744,0.00001533695,0.0000411271,0.000006512182,0.000008614513,0.000004404246,0.0001273522,6.626481e-7,0.00005199291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001564229,"threshold_uncertainty_score":0.005232871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697105603782631,"score_gpt":0.253356189733487,"score_spread":0.2363851336956607,"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."}}