{"id":"W2006882089","doi":"10.1161/01.str.0000154859.25903.75","title":"Use of Magnetic Resonance Imaging in Predicting Further Vascular Events Among Patients With Transient Ischemic Attacks","year":2005,"lang":"en","type":"letter","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Magnetic resonance imaging; Stroke (engine); Radiology","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":[0.00140717,0.0005360965,0.001573851,0.00125543,0.001016319,0.001665317,0.001052023,0.006110151,0.002332154],"category_scores_gemma":[0.01679405,0.0005370562,0.0009764406,0.001304836,0.0005349185,0.001115286,0.0002863295,0.003759465,0.001060035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008852333,"about_ca_system_score_gemma":0.00110824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005664118,"about_ca_topic_score_gemma":0.01083459,"domain_scores_codex":[0.9986783,0.0004297746,0.0002906035,0.0001038455,0.0003445724,0.0001529929],"domain_scores_gemma":[0.9926408,0.004845168,0.0004296442,0.0002658441,0.000983672,0.0008347835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001831553,0.0006843395,0.8963879,0.0001705154,0.0004211653,0.02190989,0.0003056641,0.0007207519,0.001081239,0.0003626116,0.03588541,0.04023898],"study_design_scores_gemma":[0.001359844,0.002577761,0.8656514,0.0008880446,0.002104464,0.0666623,0.001823684,0.02049174,0.00193601,0.003150269,0.03314188,0.0002126224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297711,0.01101924,0.001580087,0.186317,0.008189335,0.0001668393,0.001015893,0.0002036011,0.06173698],"genre_scores_gemma":[0.9510922,0.002987765,0.001489798,0.02724758,0.0137369,0.00008532513,0.0004250777,0.00002897161,0.002906339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006110151,"threshold_uncertainty_score":0.0112623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008156685750656015,"score_gpt":0.2121680060404035,"score_spread":0.2040113202897475,"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."}}