{"id":"W4315750001","doi":"10.2196/42870","title":"A Medical Assistive Robot for Telehealth Care During the COVID-19 Pandemic: Development and Usability Study in an Isolation Ward","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Zhejiang University; Natural Science Foundation of Zhejiang Province; Major Research Plan; National Natural Science Foundation of China","keywords":"Usability; Telehealth; Isolation (microbiology); Set (abstract data type); Teleoperation; Computer science; Robot; Videoconferencing; Mental health; Telemedicine; Convolutional neural network; Human–computer interaction; Health care; Multimedia; Applied psychology; Psychology; Artificial intelligence; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005450022,0.0001200647,0.0001786665,0.000128986,0.0005129027,0.0000347169,0.0001308627,0.0001255323,0.0003458586],"category_scores_gemma":[0.0002243644,0.00009055765,0.00003524037,0.0001794492,0.00006365999,0.00006779739,0.00004733116,0.0002520103,0.00001389201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004862502,"about_ca_system_score_gemma":0.0001309451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006198869,"about_ca_topic_score_gemma":0.01784356,"domain_scores_codex":[0.9985894,0.0002855103,0.0003108993,0.0003360801,0.0002348535,0.0002432746],"domain_scores_gemma":[0.9990923,0.0004260242,0.00008782916,0.0001592779,0.000046226,0.0001883496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007121436,0.0001382661,0.8323242,0.00002622613,0.0000192467,0.000002833727,0.165587,0.000006133498,0.00001256553,0.0000493373,0.0001249347,0.001638062],"study_design_scores_gemma":[0.0009198051,0.0001421267,0.9058193,0.000005016266,0.000004140179,0.000001096902,0.09088148,0.000009707353,0.000002585365,0.00002887295,0.002094263,0.00009160129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979134,0.000007506816,0.00006640624,0.0002496054,0.0002903311,0.001239363,0.000008307741,0.0001321605,0.00009297836],"genre_scores_gemma":[0.998938,6.46241e-7,0.000009972054,0.0002056617,0.00008260266,0.0004927311,0.00004622305,0.00001386818,0.0002103001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0747055,"threshold_uncertainty_score":0.9957126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1822693007102458,"score_gpt":0.4928447168444178,"score_spread":0.3105754161341721,"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."}}