{"id":"W3135209753","doi":"","title":"Holorehab: A Mixed-reality System for Tele-rehabilitation","year":2019,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rehabilitation; Physical medicine and rehabilitation; Human–computer interaction; Computer science; Physical therapy; Medicine","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":[0.0006997042,0.000680435,0.0004945424,0.0007519832,0.0002457687,0.000604846,0.001214455,0.0007968784,0.01512098],"category_scores_gemma":[0.00105359,0.0002841907,0.0004576723,0.0002391096,0.0001829973,0.0006028196,0.001244975,0.0005122725,0.002855167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720217,"about_ca_system_score_gemma":0.0002550507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154772,"about_ca_topic_score_gemma":0.0008674857,"domain_scores_codex":[0.9994951,0.0001437728,0.00004117628,0.00008545547,0.000187227,0.00004722698],"domain_scores_gemma":[0.9994426,0.0002024397,0.00005124353,0.0001082586,0.00009584569,0.00009957777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003665189,0.00115624,0.005292204,0.001073895,0.0003524158,0.001213797,0.001229632,0.004827003,0.1923607,0.003466556,0.05610188,0.7292604],"study_design_scores_gemma":[0.002225408,0.008870811,0.08106348,0.0004699166,0.0009699909,0.009909308,0.0008709996,0.2340894,0.2625407,0.005677695,0.3922747,0.001037507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06664902,0.0008268651,0.832187,0.0003911021,0.0002105323,0.0009721232,0.002604648,0.08340035,0.01275848],"genre_scores_gemma":[0.5858686,0.0007223552,0.3780391,0.0008195925,0.0002378419,0.001746743,0.00451138,0.002338451,0.02571603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01512098,"threshold_uncertainty_score":0.05058473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242280861576044,"score_gpt":0.2740666017974831,"score_spread":0.2616437931817227,"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."}}