{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735395,0.0002007464,0.0004523653,0.00008732078,0.0001894107,0.00004532428,0.0003502848,0.0001062851,7.233905e-7],"category_scores_gemma":[0.0001098184,0.0001087496,0.0001299109,0.00051839,0.0001900113,0.00007011347,0.0001165216,0.000220449,4.444691e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135453,"about_ca_system_score_gemma":0.00003691862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007496936,"about_ca_topic_score_gemma":0.0001061839,"domain_scores_codex":[0.9984809,0.000111325,0.0006848941,0.0002744833,0.0002181999,0.0002302434],"domain_scores_gemma":[0.9987493,0.0001936662,0.0002632264,0.0005435246,0.0001492294,0.0001010504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002105654,0.00001383324,0.008228867,0.001312208,0.0001848616,1.731448e-7,0.00169757,0.9835644,0.001157682,0.001038439,0.00001640184,0.002764468],"study_design_scores_gemma":[0.0002485575,0.0002331394,0.001994232,0.000263944,0.0002397719,0.00001394134,0.01292775,0.9625869,0.00281123,0.00024889,0.0181674,0.0002642592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6646371,0.08665302,0.2292011,0.008059426,0.003222781,0.007110778,0.0005033645,0.0005765053,0.00003589897],"genre_scores_gemma":[0.9943854,0.005088783,0.0002799303,0.00004265374,0.00003063558,0.00005500775,0.000006312937,0.00002832189,0.0000830099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3297482,"threshold_uncertainty_score":0.4434679,"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."}}