{"id":"W2003566851","doi":"10.1109/roman.2012.6343777","title":"Playing a memory game with a socially assistive robot: A case study at a long-term care facility","year":2012,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Term (time); Long-term care; Human–computer interaction; Computer science; Assistive technology; Residential care; Psychology; Applied psychology; Artificial intelligence; Nursing; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005324249,0.0002203003,0.000296255,0.00009363202,0.001215317,0.00005664105,0.0002788846,0.0002158583,0.0002787513],"category_scores_gemma":[0.0001587552,0.0001818685,0.00007293969,0.0003552612,0.0005399986,0.0003808294,0.0002183409,0.0002674667,0.0001012693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007332829,"about_ca_system_score_gemma":0.0003684945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01437017,"about_ca_topic_score_gemma":0.4117964,"domain_scores_codex":[0.9977899,0.0003219341,0.0002126044,0.000430723,0.0004976817,0.0007471714],"domain_scores_gemma":[0.9989561,0.0001409191,0.0001163665,0.0003538376,0.0001853497,0.0002474705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003338845,0.0002557568,0.7596362,0.00001257444,0.0000726102,0.0009599943,0.2342672,7.796229e-7,0.00001423515,0.00005194044,0.00003953473,0.004655774],"study_design_scores_gemma":[0.001023415,0.0001607853,0.6720471,0.00001642304,0.00009615727,0.000201806,0.3260388,0.000001036657,0.00005485348,0.000004743562,0.00005280462,0.0003020245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989908,0.0001749849,0.0003370728,0.0002694135,0.000134108,0.001278796,0.00002174207,0.0006016663,0.007274152],"genre_scores_gemma":[0.9980481,0.000002391369,0.0004030359,0.00006936092,0.00009402252,0.0001352499,0.000004075156,0.0000139274,0.001229878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3974262,"threshold_uncertainty_score":0.9921932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104363212610262,"score_gpt":0.3185135876375659,"score_spread":0.2874699555114633,"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."}}