{"id":"W2914040405","doi":"10.1148/radiol.2019181228","title":"Automated Calculation of the Alberta Stroke Program Early CT Score: Feasibility and Reliability","year":2019,"lang":"en","type":"article","venue":"Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neuroradiologist; Stroke (engine); Occlusion; Retrospective cohort study; Middle cerebral artery; Radiology; Acute stroke; Cohort; Surgery; Magnetic resonance imaging; Internal medicine; Ischemia","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":[0.0002635657,0.00009937297,0.0002887261,0.00002930644,0.00002115295,0.000003263174,0.00009235889,0.00006875927,0.00004567537],"category_scores_gemma":[0.000274611,0.00006432836,0.00007229956,0.0001064021,0.0002084677,0.00003049309,0.00009996451,0.0001343555,0.00001152712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000877242,"about_ca_system_score_gemma":0.00003819965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065408,"about_ca_topic_score_gemma":0.00001698834,"domain_scores_codex":[0.9990741,0.0001011524,0.0002456407,0.0002889035,0.0001197442,0.0001704845],"domain_scores_gemma":[0.999068,0.0001202667,0.000109692,0.0006039139,0.00005281709,0.00004527561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009510607,0.0000798897,0.9931939,0.00009333426,0.00004748443,0.000001316672,0.00008429462,0.00001287953,0.003472905,0.00009899619,0.001593895,0.001226043],"study_design_scores_gemma":[0.00103676,0.0003350328,0.9899802,0.00002182369,0.00007596146,0.00005342214,0.00001390477,0.004665319,0.001024615,0.00001759438,0.002721012,0.00005438935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928634,0.00006747343,0.00001354062,0.000684983,0.0001622816,0.001587251,0.000004736619,0.0000944698,0.004521874],"genre_scores_gemma":[0.9977013,0.000006134909,0.000694589,0.0001022953,0.00002519996,0.00002144697,0.0000122391,0.000008593433,0.001428154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004837957,"threshold_uncertainty_score":0.2623235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299916218780861,"score_gpt":0.2761606916704217,"score_spread":0.2631615294826131,"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."}}