{"id":"W3081602527","doi":"10.1007/s00234-020-02533-6","title":"Validation of automated Alberta Stroke Program Early CT Score (ASPECTS) software for detection of early ischemic changes on non-contrast brain CT scans","year":2020,"lang":"en","type":"article","venue":"Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medac; Hersenstichting; Covidien; Penumbra; Stryker; Health~Holland; Hartstichting; Medtronic; Angiocare","keywords":"Receiver operating characteristic; Medicine; Intraclass correlation; Neuroradiology; Contrast (vision); Nuclear medicine; Neurology; Software; Radiology; Artificial intelligence; Computer science; Internal medicine; Psychometrics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008930967,0.0007450762,0.0005521828,0.002172504,0.0003022847,0.0009518557,0.0009257389,0.0007879162,0.0007102455],"category_scores_gemma":[0.02350276,0.0003961871,0.0005852534,0.0006478806,0.0004996284,0.0005651055,0.0006429532,0.0003409227,0.0004764775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717048,"about_ca_system_score_gemma":0.0004671581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300936,"about_ca_topic_score_gemma":0.003221536,"domain_scores_codex":[0.9934577,0.002698655,0.0005749601,0.001111584,0.001965011,0.0001921162],"domain_scores_gemma":[0.9849523,0.005711725,0.002406753,0.001358377,0.005096599,0.0004741437],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009116168,0.0006434841,0.877599,0.0002574042,0.001156049,0.000143645,0.0005503697,0.008008858,0.01682143,0.0002102636,0.001398689,0.08409473],"study_design_scores_gemma":[0.0005453358,0.003102359,0.9351519,0.00006385049,0.0004533576,0.000819077,0.0001162575,0.04639075,0.01174753,0.0002333356,0.001298989,0.00007726977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856574,0.0005154634,0.01114876,0.00002827356,0.00004122108,0.0002796161,0.0006049176,0.0003168006,0.001407549],"genre_scores_gemma":[0.9894611,0.0001006659,0.009021305,0.00003306405,0.00002534592,0.0001745854,0.0008686264,0.00004074021,0.0002745477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.991069,"threshold_uncertainty_score":0.04723203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049071677775022,"score_gpt":0.2682505631153836,"score_spread":0.2477598463376334,"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."}}