{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003031043,0.0001249497,0.0002591141,0.0002510097,0.0000502709,0.00003014954,0.00003516279,0.00002739777,0.00004265341],"category_scores_gemma":[0.0003335038,0.00009815233,0.00002846526,0.0001579722,0.0000744524,0.0002600585,0.00007267614,0.0003248809,0.00000329628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008907401,"about_ca_system_score_gemma":0.00005708928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006396559,"about_ca_topic_score_gemma":0.000008793962,"domain_scores_codex":[0.9988529,0.0000406511,0.0003871787,0.0001798995,0.0003765416,0.0001628358],"domain_scores_gemma":[0.9992503,0.0001201619,0.0002529292,0.00009853949,0.0001715575,0.0001065116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003512265,0.00007702698,0.9963209,0.00003505375,0.00004343826,0.0001095837,0.00006808438,0.00001158285,0.0009775662,0.00005616856,0.0009200913,0.001029285],"study_design_scores_gemma":[0.004770629,0.0009985592,0.9873291,0.0002027582,0.0001148464,0.0005494354,0.00007388165,0.005163634,0.0001236058,0.00007488432,0.0005099138,0.00008875743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906169,0.00004771113,0.005356062,0.002283117,0.0002167538,0.0001458634,6.186607e-7,0.00001190937,0.001321049],"genre_scores_gemma":[0.9969507,0.00001451111,0.002029677,0.0007101725,0.000204369,5.926231e-7,0.000002037297,0.00001876585,0.00006919301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008991798,"threshold_uncertainty_score":0.4002536,"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."}}