{"id":"W4298128042","doi":"10.1109/ro-man53752.2022.9900620","title":"The Robot Screener Will See You Now: A Socially Assistive Robot for COVID-19 Screening in Long-Term Care Homes","year":2022,"lang":"en","type":"article","venue":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Health","keywords":"Robot; Health care; Task (project management); Human–robot interaction; Applied psychology; Human–computer interaction; Social robot; Computer science; Perception; Psychology; Cognition; Long-term care; Nursing; Artificial intelligence; Medicine; Robot control; Engineering; Mobile robot; Psychiatry","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":[0.001456496,0.0005418698,0.0002475166,0.0004119488,0.001029516,0.0006573717,0.0006078074,0.0005361788,0.002011268],"category_scores_gemma":[0.004323699,0.0001688861,0.0003533685,0.0001380762,0.0007128671,0.0006264324,0.001072478,0.000450963,0.0005504225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006069653,"about_ca_system_score_gemma":0.0007866189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507376,"about_ca_topic_score_gemma":0.005759228,"domain_scores_codex":[0.9988967,0.0007544375,0.00002490487,0.00006904033,0.0001465391,0.0001083568],"domain_scores_gemma":[0.9983375,0.0007388109,0.0001862095,0.00008373381,0.0002522417,0.0004014775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002866108,0.02126054,0.3275644,0.001874363,0.0002442512,0.004969109,0.1224241,0.004367933,0.06471318,0.001776215,0.01929608,0.4286438],"study_design_scores_gemma":[0.0007370345,0.05467627,0.5895994,0.0006551871,0.0006511141,0.004830524,0.2143335,0.04020917,0.03455634,0.00258929,0.05645858,0.000703653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920705,0.00007407975,0.005123529,0.0002493161,0.00002715614,0.0001853205,0.0000375229,0.0001361784,0.002096349],"genre_scores_gemma":[0.9876086,0.00009221021,0.009853746,0.0001787792,0.00001259167,0.0002192476,0.00005749532,0.00001555862,0.001961816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002507376,"threshold_uncertainty_score":0.007702768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125083656170804,"score_gpt":0.4344756327157786,"score_spread":0.3219672670986982,"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."}}