{"id":"W4412897110","doi":"10.1007/s12369-025-01291-w","title":"Acceptability and Intention to Use Mobile Robotic Telepresence to Carry Out Leisure Activities in Older Adults: An Observational Study","year":2025,"lang":"en","type":"article","venue":"International Journal of Social Robotics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Mitacs","keywords":"Observational study; Carry (investment); Robotics; Leisure activity; Mechatronics; Observational methods in psychology; Psychology; Computer science; Artificial intelligence; Social psychology; Medicine; Robot; Business","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":[0.000839624,0.0001365417,0.0002945622,0.0004963872,0.0002024121,0.0002151113,0.0006815978,0.0001489799,0.00002866121],"category_scores_gemma":[0.001504254,0.0001456107,0.00007403058,0.000412907,0.0001787044,0.001050329,0.0002084094,0.0003567709,0.000002430493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447631,"about_ca_system_score_gemma":0.0003260527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343571,"about_ca_topic_score_gemma":0.01949063,"domain_scores_codex":[0.9979051,0.0002702119,0.0005625443,0.0002582681,0.0007690834,0.0002347313],"domain_scores_gemma":[0.998207,0.0003139213,0.0002092591,0.000114491,0.001039678,0.0001157009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002051034,0.000656184,0.9200436,0.000007540532,0.00009259614,0.00002163731,0.05638281,0.003154468,0.00008283633,0.004327855,0.0001878101,0.01483755],"study_design_scores_gemma":[0.0007148755,0.0001559754,0.9415874,0.00009948177,0.00002254838,0.000001781874,0.05568056,0.00009780261,0.00002802299,0.001070284,0.0004163564,0.0001249543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837401,0.00001743956,0.005062789,0.009084178,0.001325083,0.0006568172,0.00001046774,0.00003272921,0.00007039544],"genre_scores_gemma":[0.9961989,0.00001400683,0.003033232,0.0002446481,0.0002063593,0.00002780897,0.000002641048,0.000009577912,0.0002628177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02154375,"threshold_uncertainty_score":0.9984011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728672145922725,"score_gpt":0.387358871443783,"score_spread":0.3300721499845558,"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."}}