{"id":"W4388869984","doi":"10.2196/48646","title":"Identifying Preferred Appearance and Functional Requirements of Aged Care Robots Among Older Chinese Immigrants: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; Ethnic group; Immigration; Gerontology; Cross-sectional study; Usability; Social isolation; Psychology; Preference; Mental health; Medicine; Social psychology; Sociology; Geography; Computer science; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130111,0.000285938,0.0003214433,0.0006666114,0.000867227,0.0006301359,0.0003127267,0.0005587054,0.002083105],"category_scores_gemma":[0.001891187,0.000369019,0.0006840403,0.0004815448,0.0003299683,0.000799541,0.0006062184,0.0006395726,0.000414667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000471132,"about_ca_system_score_gemma":0.0005166467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870617,"about_ca_topic_score_gemma":0.01625406,"domain_scores_codex":[0.9996749,0.00005485209,0.00005758294,0.00006003894,0.00009513443,0.00005751219],"domain_scores_gemma":[0.9990975,0.0001162828,0.0003197703,0.00004604246,0.000265527,0.0001549298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006688075,0.0002443929,0.9934053,0.00006919046,0.00003868451,0.0001174049,0.003302865,0.00001462575,0.0003163301,0.00002088754,0.0001775109,0.002225809],"study_design_scores_gemma":[0.000007278922,0.0004286581,0.9913332,0.00003811217,0.00003731002,0.0002005185,0.007301738,0.0001235424,0.00007829849,0.00001647794,0.0004246521,0.0000102606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999476,0.00006130913,0.00003911175,0.00002171742,0.000002873077,0.0000324032,0.00009796264,9.340246e-7,0.0002677283],"genre_scores_gemma":[0.9989761,0.0001237125,0.0001898937,0.0000996369,0.000005191322,0.00008436467,0.0001629269,0.000001355956,0.0003567513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008870617,"threshold_uncertainty_score":0.01763797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258747855735718,"score_gpt":0.3643298788103396,"score_spread":0.3217424002529824,"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."}}