{"id":"W4308090788","doi":"10.1109/ccece49351.2022.9918211","title":"Assistive Robots for Long COVID and ME/CFS Support: Challenges and Opportunities","year":2022,"lang":"en","type":"article","venue":"","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Demographics; Robotics; Robot; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Quality of life (healthcare); Artificial intelligence; Drone; Medicine; Nursing; Sociology; Virology; Disease","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":[0.001506005,0.0006457209,0.000309965,0.000328704,0.001023224,0.001623271,0.0010719,0.001922043,0.006768517],"category_scores_gemma":[0.002429981,0.0001720624,0.0005383465,0.0001635227,0.001127313,0.00281621,0.002046816,0.00107368,0.001800703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969385,"about_ca_system_score_gemma":0.00105771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008183713,"about_ca_topic_score_gemma":0.002319471,"domain_scores_codex":[0.9993508,0.0002498809,0.00003799907,0.00005747069,0.0001939569,0.0001097995],"domain_scores_gemma":[0.9984933,0.0005752861,0.0001313015,0.00007951364,0.0003419919,0.0003786054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006466027,0.0006938061,0.01263252,0.002353875,0.00007835299,0.002603961,0.003167656,0.006362613,0.02182996,0.0235715,0.06170576,0.8643534],"study_design_scores_gemma":[0.000216697,0.006160495,0.02347801,0.004893176,0.0001537654,0.01300095,0.02182543,0.04442555,0.01413913,0.07264438,0.7986585,0.0004039207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079236,0.07775605,0.4011282,0.1518157,0.008513098,0.000974202,0.0005813382,0.003411466,0.1478963],"genre_scores_gemma":[0.6907842,0.03130562,0.2371492,0.008204109,0.001886355,0.0006732105,0.0005163496,0.0002005288,0.02928033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006768517,"threshold_uncertainty_score":0.02264297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760012829682352,"score_gpt":0.3263878947709986,"score_spread":0.2503866118027633,"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."}}