{"id":"W3022706795","doi":"10.1002/aisy.202000071","title":"Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID‐19 Pandemic: An Analysis of the State of the Art and Future Vision","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":308,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Economic Development and Trade, Government of Alberta","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Robotics; Wearable computer; 2019-20 coronavirus outbreak; Artificial intelligence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; State (computer science); Computer science; State of art; Wearable technology; Human–computer interaction; Robot; Data science; Medicine; Embedded system; Virology; Infectious disease (medical specialty); Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003241018,0.0006458683,0.0004408607,0.00303713,0.001082483,0.00692339,0.0006760867,0.003123804,0.003881762],"category_scores_gemma":[0.003114484,0.0003931147,0.000636827,0.002108802,0.004092362,0.008904412,0.002024866,0.002432551,0.0006966222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859999,"about_ca_system_score_gemma":0.002646561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496928,"about_ca_topic_score_gemma":0.003318264,"domain_scores_codex":[0.9982877,0.0006094334,0.0001046439,0.0001337534,0.0006405082,0.0002240266],"domain_scores_gemma":[0.9972753,0.001693512,0.00025403,0.0001554751,0.0004777106,0.0001439963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001851035,0.000275699,0.006973257,0.004923219,0.00009337292,0.0004187315,0.002349544,0.004458217,0.003557731,0.4168536,0.02447109,0.5354404],"study_design_scores_gemma":[0.00002476574,0.0007676278,0.01826646,0.01343148,0.0001340749,0.001707304,0.01631,0.01603981,0.004538126,0.2068651,0.721656,0.0002594016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02272598,0.7184908,0.04005221,0.07810713,0.002710155,0.0001753286,0.0001559482,0.0001943284,0.1373882],"genre_scores_gemma":[0.2514782,0.69784,0.02311002,0.01252452,0.002858626,0.0001963351,0.0001515609,0.00006961555,0.01177106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00692339,"threshold_uncertainty_score":0.01714033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911561651976262,"score_gpt":0.2649578770272491,"score_spread":0.2458422605074865,"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."}}