{"id":"W3216183266","doi":"10.1136/svn-2021-001091","title":"Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients","year":2021,"lang":"en","type":"article","venue":"Stroke and Vascular Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"University of Calgary; Canada Research Chairs; Alberta Health Services; Heart and Stroke Foundation of Canada","keywords":"Medicine; Neuroimaging; Stroke (engine); Context (archaeology); Multivariate analysis; Multivariate statistics; Physical medicine and rehabilitation; Physical therapy; Internal medicine; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001156176,0.0002401172,0.0004487886,0.000197519,0.00005353414,0.00001734249,0.0000971702,0.0001457191,0.0000641126],"category_scores_gemma":[0.00005937268,0.0002088892,0.0001069215,0.0001973332,0.0001083522,0.00006819032,0.0002224714,0.0004111952,0.00001895468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002365553,"about_ca_system_score_gemma":0.00006440772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003393627,"about_ca_topic_score_gemma":0.00003093039,"domain_scores_codex":[0.9982717,0.00008110193,0.0002864343,0.0006101388,0.0003048282,0.0004457791],"domain_scores_gemma":[0.9991876,0.00006610989,0.00007645033,0.0004523286,0.00008812577,0.0001293902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001980066,0.0001832586,0.9628772,0.0001055675,0.0002382482,0.0005137026,0.0001170963,0.000007894843,0.02511622,0.00001622558,0.005937109,0.004689504],"study_design_scores_gemma":[0.007028063,0.0006913489,0.8256149,0.00007821662,0.0001969274,0.0001346856,0.0001505551,0.0001409521,0.0129299,0.00000312221,0.1527616,0.0002696762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890039,0.0007296311,0.0002128484,0.0009770818,0.0001224974,0.0003397485,0.00001456148,0.00004446374,0.008555258],"genre_scores_gemma":[0.9952477,0.0005121817,0.0004827755,0.002746994,0.00009257637,0.00003392274,0.0000786852,0.00003755982,0.0007676398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1468245,"threshold_uncertainty_score":0.8518254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041521061808255,"score_gpt":0.2187288631410438,"score_spread":0.2083136525229613,"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."}}