{"id":"W2040772872","doi":"10.1177/1941874411418523","title":"Computed Tomography Angiography in the Assessment of Patients With Stroke/TIA","year":2011,"lang":"en","type":"article","venue":"The Neurohospitalist","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale","keywords":"Medicine; Stroke (engine); Context (archaeology); Computed tomography angiography; Angiography; Acute stroke; Neuroimaging; Radiology; Computed tomography; Intensive care medicine; Emergency department","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001840229,0.0001714553,0.0002272897,0.0001861575,0.00004781654,0.00001202424,0.0004089001,0.00003052819,0.00005817366],"category_scores_gemma":[0.000007250006,0.00008582533,0.0001876615,0.0006928513,0.0002417827,0.00005159448,0.00009350145,0.0002073446,0.000003641114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247115,"about_ca_system_score_gemma":0.00001460963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211658,"about_ca_topic_score_gemma":0.000007279812,"domain_scores_codex":[0.9987223,0.00008137027,0.0002617808,0.00022296,0.0004829783,0.0002286567],"domain_scores_gemma":[0.9989769,0.00005608856,0.0001537793,0.0006925504,0.00007982629,0.00004078996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008430731,0.0005536515,0.9915997,0.0000274725,0.0001565147,0.00001725172,0.0005695957,0.000001835776,0.00002651066,0.0003561362,0.00645164,0.000155319],"study_design_scores_gemma":[0.001196271,0.0007344016,0.9964243,0.00003321902,0.0002162765,0.000002575725,0.0002475466,0.00002892817,0.0001151975,0.00001704016,0.0008956852,0.00008851592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555158,0.00005828931,0.0001415493,0.0004282549,0.0001045335,0.0009564877,0.00003104313,0.00002752282,0.04273651],"genre_scores_gemma":[0.9978787,0.000003704498,0.001012011,0.0009473725,0.00002398065,0.00003903229,0.00003297112,0.0000204482,0.00004181491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0426947,"threshold_uncertainty_score":0.3499856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089374807904454,"score_gpt":0.2265185105966857,"score_spread":0.2156247625176411,"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."}}