{"id":"W2780778728","doi":"10.1371/journal.pone.0188786","title":"Robotic exoskeleton assessment of transient ischemic attack","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Physical medicine and rehabilitation; Cohort; Medicine; Montreal Cognitive Assessment; Upper limb; Stroke (engine); Percentile; Physical therapy; Cognition; Cognitive impairment; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002748721,0.0003859401,0.0003097302,0.0006053451,0.000183736,0.0002301823,0.000112503,0.000239558,0.0009647315],"category_scores_gemma":[0.0005956704,0.00009030795,0.0002038254,0.0002023691,0.0001178729,0.000132969,0.0002585563,0.0001298442,0.0001803474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028516,"about_ca_system_score_gemma":0.00009346402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005064546,"about_ca_topic_score_gemma":0.001157014,"domain_scores_codex":[0.9998073,0.0000589799,0.00002221597,0.00004366359,0.00004509158,0.0000228195],"domain_scores_gemma":[0.9998234,0.00002763989,0.00006465731,0.00001491762,0.00003941499,0.00003006397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003087812,0.001046122,0.8186685,0.000360534,0.0003148036,0.002184639,0.0007630471,0.001151801,0.04861346,0.0001301091,0.0009648165,0.1227144],"study_design_scores_gemma":[0.00006213996,0.003155756,0.9902987,0.00001799537,0.00006912422,0.001853013,0.0001071172,0.001382964,0.002142549,0.00005646179,0.0008389072,0.00001524562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970649,0.0002938683,0.0009310134,0.00002084328,0.000009631454,0.00009264843,0.0001758629,0.00002971828,0.001381576],"genre_scores_gemma":[0.9981021,0.0001476587,0.000817302,0.00002592693,0.00001084665,0.00007555136,0.0001732637,0.000001898856,0.0006455364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009647315,"threshold_uncertainty_score":0.003227353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07654207667741203,"score_gpt":0.334339746997802,"score_spread":0.25779767032039,"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."}}