{"id":"W3139006350","doi":"10.1161/str.52.suppl_1.p364","title":"Abstract P364: Use of the Electronic Alberta Stroke Program Early CT Score Software to Guide Treatment of Patients With Acute Ischemic Stroke","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Acute stroke; Logistic regression; Internal medicine; Computed tomography; Retrospective cohort study; Cardiology; Radiology","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":[0.0008904987,0.0002185171,0.0001556417,0.001580567,0.000194026,0.0005041598,0.0003301339,0.0001650239,0.002160124],"category_scores_gemma":[0.005695294,0.00008939886,0.0001810512,0.001417517,0.00023418,0.0003163485,0.0003154929,0.0002614769,0.0003916483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828112,"about_ca_system_score_gemma":0.0007996445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009226939,"about_ca_topic_score_gemma":0.01165481,"domain_scores_codex":[0.999416,0.0001533701,0.0001056324,0.00005751841,0.0002281172,0.0000393153],"domain_scores_gemma":[0.9969134,0.0008224778,0.001328475,0.0001022171,0.0006326474,0.0002007753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000525619,0.00001736895,0.9915279,0.00001388778,0.00001702441,0.00005067493,0.00001861381,0.00009111882,0.00007188259,0.00001566022,0.0005118678,0.00761139],"study_design_scores_gemma":[0.00001137911,0.00008964689,0.9973538,0.00002929452,0.0000215678,0.0004100277,0.00009192697,0.001233674,0.0002343192,0.00005406371,0.0004660549,0.000004283185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920563,0.0004914072,0.0009205515,0.0003733435,0.00001619606,0.0001087146,0.001983433,0.00006642994,0.003983679],"genre_scores_gemma":[0.9972882,0.0002317962,0.001110539,0.00005525108,0.00001758202,0.00003341312,0.0009727877,0.000006332849,0.0002839628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009226939,"threshold_uncertainty_score":0.01834649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225708491261537,"score_gpt":0.2541848393667295,"score_spread":0.2419277544541141,"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."}}