{"id":"W3201338671","doi":"10.3390/robotics10030106","title":"Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19","year":2021,"lang":"en","type":"article","venue":"Robotics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Canadian Institute for Advanced Research; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Pandemic; Loneliness; Workload; Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Social isolation; Population; Robot; Psychology; Public relations; Business; Internet privacy; Medicine; Computer science; Political science; Environmental health; Social psychology; Artificial intelligence; Psychiatry","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":[0.002043608,0.0004560148,0.0003333379,0.0005274352,0.001018258,0.001387108,0.0004754304,0.001021795,0.00260261],"category_scores_gemma":[0.006390342,0.000129262,0.0006237056,0.0003364952,0.001204569,0.002292047,0.001789226,0.000599859,0.0006022712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326701,"about_ca_system_score_gemma":0.0008372866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552098,"about_ca_topic_score_gemma":0.003605059,"domain_scores_codex":[0.9987277,0.0008293185,0.00008063797,0.00008467946,0.0001554766,0.0001221583],"domain_scores_gemma":[0.9983003,0.0009743179,0.0002186237,0.00008121635,0.0002556128,0.0001699478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003652984,0.0002452781,0.03317939,0.009950516,0.0002258321,0.001856181,0.107123,0.0008295957,0.004024628,0.009261047,0.02524413,0.8076952],"study_design_scores_gemma":[0.00007021396,0.00227939,0.09041399,0.01274727,0.0004050902,0.004643374,0.1590436,0.001197814,0.003608688,0.008904915,0.7164732,0.000212569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802342,0.09695319,0.02142297,0.01748863,0.001754926,0.0003494258,0.0005343008,0.0004253576,0.08083702],"genre_scores_gemma":[0.9403908,0.04242414,0.00700612,0.002653714,0.0002286683,0.0002464577,0.0002096996,0.00003293371,0.006807523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260261,"threshold_uncertainty_score":0.01080775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005822261370221,"score_gpt":0.3159513015630428,"score_spread":0.2858930789493406,"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."}}