{"id":"W3154430350","doi":"10.1017/cjn.2021.62","title":"Discriminative Utility of Transcranial Magnetic Stimulation-Derived Markers of Cortical Excitability for Transient Ischemic Attack","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; University of British Columbia; University of Ottawa","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Transcranial magnetic stimulation; Medicine; Diffusion MRI; Magnetic resonance imaging; Ischemia; Hyperintensity; Stroke (engine); Neuroimaging; Cardiology; Neuroscience; Internal medicine; Psychology; Radiology; Stimulation; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002820753,0.0003994432,0.000415473,0.0007754859,0.0001638509,0.0006514163,0.0003074319,0.0005490553,0.001474751],"category_scores_gemma":[0.01029882,0.0001249568,0.0006350139,0.0005408429,0.0002547209,0.0003010265,0.0003436309,0.0003604364,0.0002231522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487288,"about_ca_system_score_gemma":0.0001569883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005527036,"about_ca_topic_score_gemma":0.0007880819,"domain_scores_codex":[0.9991136,0.0003505461,0.0001454873,0.0002315497,0.0001095789,0.00004913475],"domain_scores_gemma":[0.9909117,0.006348644,0.001417292,0.0004274506,0.0005204081,0.0003743904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001147543,0.00003263154,0.9930639,0.00004311202,0.0004592953,0.00004862976,0.00003834799,0.000177914,0.0006723344,0.00003123032,0.00007745295,0.004207639],"study_design_scores_gemma":[0.00002877693,0.0002252807,0.9976318,0.00001324868,0.0002790407,0.0002467147,0.00004243328,0.001045942,0.0002583177,0.0001216105,0.0001013165,0.000005543912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972959,0.001057425,0.0004623761,0.00005258322,0.00001997595,0.00001224392,0.0003978905,0.00001206019,0.0006895899],"genre_scores_gemma":[0.999557,0.00006278613,0.0001334636,0.00001027855,0.00001204987,0.000004552592,0.0001848408,0.000001779109,0.00003335399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002820753,"threshold_uncertainty_score":0.01491779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0794068311073263,"score_gpt":0.3110618877247187,"score_spread":0.2316550566173924,"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."}}