{"id":"W4313889267","doi":"10.3390/robotics12010009","title":"Long-Term Exercise Assistance: Group and One-on-One Interactions between a Social Robot and Seniors","year":2023,"lang":"en","type":"article","venue":"Robotics","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"AGE-WELL; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Applied psychology; Psychology; Robot; Perception; Human–robot interaction; Exploratory research; Valence (chemistry); Affect (linguistics); Rehabilitation; Human–computer interaction; Physical medicine and rehabilitation; Cognitive psychology; Computer science; Developmental psychology; Gerontology; Medicine; Artificial intelligence; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428908,0.0001887087,0.0003412591,0.0001970091,0.0003834702,0.000108601,0.00009787078,0.0001774994,0.0003740735],"category_scores_gemma":[0.00003920421,0.0002155358,0.00008104202,0.000334072,0.0001265121,0.0001242146,0.00007472865,0.0004031438,0.0004552602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006571853,"about_ca_system_score_gemma":0.00001619702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003856581,"about_ca_topic_score_gemma":0.0001124777,"domain_scores_codex":[0.9987042,0.00008969583,0.0002955636,0.0003669035,0.0001991966,0.0003444443],"domain_scores_gemma":[0.9991611,0.0003329761,0.0001320639,0.0001830852,0.00004863645,0.0001421709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006318564,0.001495281,0.5744526,0.0002897831,0.001517654,0.000175249,0.03246796,0.0002945077,0.001023351,0.06801968,0.04289283,0.2767392],"study_design_scores_gemma":[0.0007441714,0.00007871385,0.9959755,0.0001005105,0.000160091,0.000006328849,0.001192388,0.00004864265,0.0000174391,0.00075047,0.000665269,0.0002605031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576996,0.0002541101,0.009785567,0.009824909,0.00461163,0.0008576749,0.00009446197,0.0008477641,0.01602427],"genre_scores_gemma":[0.9910983,0.0001210784,0.0006544318,0.0002649542,0.0008499955,0.00004029147,0.00006283273,0.00005076372,0.006857391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4215229,"threshold_uncertainty_score":0.8789296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842689254589019,"score_gpt":0.384957587655562,"score_spread":0.3006886621966601,"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."}}