{"id":"W2063646895","doi":"10.1159/000355024","title":"Magnetic Resonance Imaging versus Computed Tomography in Transient Ischemic Attack and Minor Stroke: The More Υou See the More You Know","year":2013,"lang":"en","type":"article","venue":"Cerebrovascular Diseases Extra","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Université de Sherbrooke","funders":"","keywords":"Medicine; Magnetic resonance imaging; Stroke (engine); Acute stroke; Computed tomography; Prospective cohort study; Radiology; Ischemia; Cardiology; Lesion; Nuclear medicine; Internal medicine; Surgery","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":[0.004655265,0.0003499056,0.00110372,0.0007032087,0.0003563036,0.001038708,0.0004239066,0.001787583,0.008588035],"category_scores_gemma":[0.01147197,0.0003418032,0.0008285689,0.001095912,0.0005624134,0.001585921,0.0006604248,0.0008723464,0.0008400452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214061,"about_ca_system_score_gemma":0.0002702245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108529,"about_ca_topic_score_gemma":0.002422543,"domain_scores_codex":[0.9976572,0.001468522,0.0002449023,0.0002603523,0.0002453834,0.0001237228],"domain_scores_gemma":[0.9919069,0.005229464,0.001549148,0.0002383203,0.0003230321,0.0007532127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01441009,0.0003733903,0.9523319,0.0003227398,0.0007442774,0.0001668263,0.0002277277,0.00007222495,0.0004289494,0.0001069442,0.002321113,0.02849385],"study_design_scores_gemma":[0.001704396,0.005220099,0.986883,0.000309629,0.001052212,0.0008150554,0.0004124761,0.0004222951,0.0001546243,0.0001935288,0.002804337,0.00002840106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785799,0.01284187,0.0001494129,0.004240212,0.0003905562,0.0000782489,0.0004580474,0.000006199157,0.003255609],"genre_scores_gemma":[0.991761,0.003494194,0.0002767127,0.001497314,0.001678178,0.00009422715,0.0003527594,0.000008760998,0.0008367695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008588035,"threshold_uncertainty_score":0.02872986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161903546227713,"score_gpt":0.2434640723543669,"score_spread":0.2318450368920898,"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."}}