{"id":"W2166697046","doi":"10.1371/journal.pone.0030352","title":"Improved Outcome Prediction Using CT Angiography in Addition to Standard Ischemic Stroke Assessment: Results from the STOPStroke Study","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality; Agency for Health Care Policy and Research","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Odds ratio; Angiography; Internal medicine; Ischemic stroke; Prospective cohort study; Cardiology; Radiology; 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":[0.001412543,0.0006681383,0.0005935571,0.0006683892,0.0002811299,0.0008711224,0.0003754203,0.000627166,0.0009893526],"category_scores_gemma":[0.005187626,0.0002050442,0.0005652425,0.0005809814,0.0002421142,0.0006263965,0.0004800746,0.0006442121,0.000391835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227227,"about_ca_system_score_gemma":0.0002814273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731224,"about_ca_topic_score_gemma":0.004243482,"domain_scores_codex":[0.9994005,0.0002139658,0.00007209203,0.000128508,0.0001308656,0.00005414588],"domain_scores_gemma":[0.9976404,0.0006471395,0.0008461381,0.000208593,0.0003231124,0.0003345906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001023302,0.00007044993,0.9959168,0.00001143767,0.0001552173,0.0000490265,0.00002050877,0.0001195186,0.0001091005,0.000007915283,0.0002071842,0.002309484],"study_design_scores_gemma":[0.00009951503,0.0004040315,0.9981664,0.0000141717,0.0001969342,0.0001147592,0.00002900477,0.0006456537,0.00008661341,0.00004010706,0.0001944951,0.000008328905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980581,0.000329621,0.0001513863,0.0001090488,0.00002527951,0.00001926882,0.0008177626,0.00001057378,0.0004788285],"genre_scores_gemma":[0.9973615,0.0001902359,0.0001622715,0.00004070083,0.00005718195,0.0000149369,0.001983866,0.000005682921,0.0001835541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002731224,"threshold_uncertainty_score":0.00747031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05758143837847801,"score_gpt":0.2970454177490954,"score_spread":0.2394639793706174,"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."}}