{"id":"W4401881252","doi":"10.1101/2024.08.23.24312233","title":"Feasibility of Low-Cost Virtual Reality Motor Amplification for Stroke Rehabilitation","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Rehabilitation; Virtual reality; Stroke (engine); Physical medicine and rehabilitation; Medicine; Computer science; Physical therapy; Human–computer interaction; Engineering; Aerospace engineering","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":[0.0007860999,0.0004627141,0.0002723407,0.0003676451,0.0001817595,0.0008272514,0.0009144181,0.0005289586,0.005906915],"category_scores_gemma":[0.002506637,0.0001911065,0.0002904711,0.00009442668,0.000242377,0.000463441,0.0007988194,0.0002570856,0.0009745799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858124,"about_ca_system_score_gemma":0.0003852013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008558317,"about_ca_topic_score_gemma":0.0008039419,"domain_scores_codex":[0.9992107,0.0003078789,0.00005700404,0.00009194401,0.0002582392,0.00007411607],"domain_scores_gemma":[0.9992505,0.0003276022,0.00005654693,0.00008965536,0.0002132437,0.00006248468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003883712,0.002443847,0.01507078,0.001000196,0.0002041007,0.0007236465,0.0005185478,0.01205496,0.5757946,0.001400611,0.00445725,0.3824477],"study_design_scores_gemma":[0.001720957,0.04739828,0.1459476,0.0003139529,0.0009851991,0.003706839,0.0007361451,0.2180889,0.5426734,0.001852917,0.03615113,0.0004246251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8851316,0.0004215656,0.106224,0.0003266011,0.0001138039,0.0007437362,0.00041676,0.001499071,0.005122765],"genre_scores_gemma":[0.9784741,0.0000944654,0.01909038,0.00008471637,0.00001740457,0.0002353432,0.0001996189,0.00004376323,0.001760292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005906915,"threshold_uncertainty_score":0.01976061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996935448237323,"score_gpt":0.355002191412652,"score_spread":0.3050328369302788,"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."}}