{"id":"W2911362146","doi":"10.1161/str.50.suppl_1.wp327","title":"Abstract WP327: CT Angiogram Has High Yield in Code Stroke","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Medicine; Stroke (engine); Neurology; Neuroradiologist; Radiology; Acute stroke; Neuroradiology; Internal medicine; Magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155929,0.0003771654,0.0002814187,0.002444774,0.0003414076,0.001081881,0.0004761801,0.0008206305,0.005576479],"category_scores_gemma":[0.01422345,0.0002357468,0.0002714534,0.001535391,0.000410821,0.0008895815,0.0005630267,0.0004834178,0.002151142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661137,"about_ca_system_score_gemma":0.0004474681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990228,"about_ca_topic_score_gemma":0.002452176,"domain_scores_codex":[0.9987009,0.000263448,0.0003276766,0.0001777667,0.0004012396,0.0001290751],"domain_scores_gemma":[0.9899865,0.00303934,0.003936489,0.0005221804,0.00183039,0.0006850189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001358107,0.00001603402,0.992175,0.00002687294,0.00001890012,0.001390524,0.00002966954,0.0000439069,0.0005342534,0.00003065546,0.0007676554,0.004830722],"study_design_scores_gemma":[0.00001304983,0.00009148238,0.9799656,0.00008977946,0.00006547823,0.01594261,0.0002489841,0.000777134,0.001538645,0.0002034994,0.001050155,0.00001370571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988015,0.00110702,0.0007490427,0.0005603793,0.00008319553,0.00003615426,0.001145957,0.000071022,0.008232303],"genre_scores_gemma":[0.9981486,0.0003633762,0.0003822375,0.0001140393,0.00009691931,0.000007399503,0.0006373703,0.00002195964,0.0002281231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005576479,"threshold_uncertainty_score":0.01865524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640615159893516,"score_gpt":0.2433142811651952,"score_spread":0.2269081295662601,"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."}}