{"id":"W4295519936","doi":"10.1109/embc48229.2022.9871618","title":"Circadian parameter as a possible indicator of gait performance and daily activity levels in chronic stroke survivors","year":2022,"lang":"en","type":"article","venue":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Circadian rhythm; Rhythm; Physical medicine and rehabilitation; Stroke (engine); Cognition; Psychology; Effects of sleep deprivation on cognitive performance; Gait; Sleep (system call); Actigraphy; Montreal Cognitive Assessment; Physical therapy; Medicine; Cognitive impairment; Internal medicine; Psychiatry; Neuroscience; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490888,0.0001698345,0.0002050065,0.0006335899,0.0002249715,0.0002919846,0.00008169778,0.0001472817,0.0006546826],"category_scores_gemma":[0.001154294,0.00007272994,0.0001552144,0.0005644356,0.0001060606,0.0001180678,0.0001784618,0.0001401356,0.00009279919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231051,"about_ca_system_score_gemma":0.0001533056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002815841,"about_ca_topic_score_gemma":0.003940229,"domain_scores_codex":[0.9998717,0.00003469874,0.00002003494,0.00002088729,0.00002559228,0.00002703911],"domain_scores_gemma":[0.9994792,0.0000730805,0.0002447135,0.00003296353,0.00008767586,0.00008230323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000248605,0.00004022611,0.9943193,0.00001379469,0.00003554396,0.00005180467,0.0000693297,0.00004848027,0.001031949,0.00001088728,0.00005068648,0.004079483],"study_design_scores_gemma":[0.000001646734,0.000111883,0.9995994,0.000001612887,0.00001047938,0.0000523034,0.00004167653,0.00006582777,0.00006201185,0.000007690078,0.00004438987,0.000001061915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991124,0.0002575132,0.0001433427,0.00001182024,0.000004347107,0.000006860111,0.0001312049,0.000003008883,0.0003295098],"genre_scores_gemma":[0.9995491,0.00008453197,0.00008345469,0.000008516917,0.000006112023,0.000005580333,0.0001561253,0.000001045094,0.0001054515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002815841,"threshold_uncertainty_score":0.005598903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195142571709097,"score_gpt":0.3020015096355596,"score_spread":0.2700500839184686,"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."}}