{"id":"W4309657827","doi":"10.1177/20556683221140345","title":"Human-like tele-health robotics for older adults – A preliminary feasibility trial and vision","year":2022,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robotics; Artificial intelligence; Computer science; Computer vision; Physical medicine and rehabilitation; Medicine; Psychology; Robot","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":[0.006014792,0.000931119,0.0008613819,0.0003636093,0.0004955012,0.0008112569,0.0007989922,0.001569628,0.005096795],"category_scores_gemma":[0.00424821,0.0003424385,0.0013953,0.0002262236,0.001235005,0.001067498,0.0005984848,0.00117749,0.0007970838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801119,"about_ca_system_score_gemma":0.001748298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062259,"about_ca_topic_score_gemma":0.001611699,"domain_scores_codex":[0.9980222,0.001359712,0.0001512216,0.000143192,0.0001402364,0.0001834294],"domain_scores_gemma":[0.9979528,0.0008199682,0.0002778763,0.000258925,0.0002860214,0.0004043559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.4375151,0.3234509,0.01116111,0.004606317,0.00122221,0.0005738356,0.0017622,0.001748099,0.02248527,0.0009225005,0.002743025,0.1918095],"study_design_scores_gemma":[0.089849,0.8966876,0.008437805,0.0001548313,0.0003045478,0.0001051426,0.0002930252,0.0007918156,0.001489727,0.0002360943,0.001626358,0.00002405015],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719219,0.0008404109,0.002354196,0.0004435965,0.000162585,0.02210849,0.0003555633,0.00007384132,0.001739476],"genre_scores_gemma":[0.9631642,0.001345984,0.007758395,0.0005484061,0.0002090691,0.02487682,0.0004385351,0.00001329261,0.001645275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006014792,"threshold_uncertainty_score":0.03180963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869338053286878,"score_gpt":0.2993568924209145,"score_spread":0.2806635118880457,"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."}}