{"id":"W2131212015","doi":"10.3174/ajnr.a0975","title":"Accuracy of the Alberta Stroke Program Early CT Score during the First 3 Hours of Middle Cerebral Artery Stroke: Comparison of Noncontrast CT, CT Angiography Source Images, and CT Perfusion","year":2008,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Radiology; Stroke (engine); Middle cerebral artery; Angiography; Perfusion; Perfusion scanning; Cerebral angiography; Nuclear medicine; Cardiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109368,0.000352042,0.0002743647,0.0009287091,0.0001325502,0.0005437313,0.0003871455,0.0004876718,0.0005694884],"category_scores_gemma":[0.006776321,0.0001645136,0.0002985206,0.0002652576,0.0002599863,0.0004153346,0.0003090329,0.000225663,0.000230641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525585,"about_ca_system_score_gemma":0.0002223042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468186,"about_ca_topic_score_gemma":0.003733563,"domain_scores_codex":[0.9994618,0.0001345936,0.00008353451,0.00008286744,0.0001730723,0.00006407091],"domain_scores_gemma":[0.9970025,0.001069925,0.0009794756,0.0001927924,0.0004562892,0.0002989728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005735761,0.00001703185,0.9952019,0.000007389461,0.00006161764,0.00006861396,0.00003799203,0.0001556294,0.0003991773,0.000006980446,0.00004657562,0.003423368],"study_design_scores_gemma":[0.00001876119,0.000260958,0.9968047,0.000008093864,0.00005426462,0.0007227997,0.00005530862,0.00154662,0.0004119655,0.00001761231,0.00009297284,0.00000610417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989385,0.0003675777,0.0001999046,0.0000135079,0.000008340025,0.000007695891,0.00009520062,0.000009622847,0.0003596097],"genre_scores_gemma":[0.9995933,0.00006543399,0.00009678498,0.000004630896,0.000009034392,0.000003044425,0.0001747863,0.000001637947,0.00005131978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002468186,"threshold_uncertainty_score":0.005784035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432575009147573,"score_gpt":0.2458498142259523,"score_spread":0.2315240641344766,"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."}}