{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045497,0.0001670445,0.0003869265,0.0001733566,0.00007089761,0.00003615458,0.0000789089,0.0001528602,0.00003322682],"category_scores_gemma":[0.0006902853,0.0001362836,0.0002752025,0.0002322713,0.0000810365,0.000195595,0.00002293688,0.0001172223,0.0001731385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164489,"about_ca_system_score_gemma":0.00006671216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193635,"about_ca_topic_score_gemma":8.033207e-7,"domain_scores_codex":[0.9987042,0.000008393755,0.0003592319,0.0003981311,0.0002573954,0.0002726245],"domain_scores_gemma":[0.9986742,0.0003582677,0.0001226728,0.0001496028,0.0005603706,0.0001348944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001367142,0.0004368305,0.8227978,0.0155228,0.0001689642,0.000001251019,0.002554509,0.00000581827,0.07095926,0.04070839,0.03543602,0.01004126],"study_design_scores_gemma":[0.005879217,0.004032349,0.8740474,0.001284661,0.0002048684,0.00009740097,0.01570216,0.00161929,0.01145952,0.0005695097,0.08462688,0.0004767388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842152,0.00009063884,0.0001452034,0.001679609,0.0007836618,0.002037396,0.00001710477,0.0002690838,0.01076209],"genre_scores_gemma":[0.9932848,0.000003546186,0.004497212,0.0001442571,0.0002664219,0.0002549961,0.0000219063,0.00003489962,0.001491925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05949973,"threshold_uncertainty_score":0.5557482,"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."}}