{"id":"W4400789152","doi":"10.2196/54736","title":"How Time, Living Situation, and Stress Related to Technology Influence User Acceptance and Usability of a Socialization Service for Older Adults and Their Formal and Informal Caregivers: Six-Month Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Usability; Socialization; Technology acceptance model; Psychology; Applied psychology; Service (business); Gerontology; Stress (linguistics); Social psychology; Medicine; Computer science; Business; Human–computer interaction; Marketing","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":[0.0004357358,0.0001462163,0.0002046782,0.0002212207,0.000436394,0.0001784926,0.0001359352,0.0001321347,0.000002413843],"category_scores_gemma":[0.0003314718,0.0001389049,0.0000108051,0.0006316769,0.0002935775,0.001398406,0.0002514987,0.000134434,2.558728e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024201,"about_ca_system_score_gemma":0.00005788959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003253245,"about_ca_topic_score_gemma":0.006187547,"domain_scores_codex":[0.9989662,0.00005135321,0.0002113966,0.0003646423,0.0001320837,0.000274309],"domain_scores_gemma":[0.9992331,0.0002360291,0.00009513491,0.0001362312,0.0002371963,0.00006236281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000485719,0.00007893881,0.5746115,0.0004303415,0.00004987444,0.000001179993,0.3758439,0.00001058449,0.0002713048,0.0009146194,0.00002194924,0.04771721],"study_design_scores_gemma":[0.0007659124,0.0003297369,0.8403984,0.0005981453,0.00003007965,0.000002846084,0.1554791,0.001557995,0.0001778361,0.0003225564,0.0001259415,0.0002113721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953948,0.0003366184,0.0002771044,0.001977014,0.00003508615,0.001690316,0.00002516326,0.0002348562,0.00002908367],"genre_scores_gemma":[0.9995099,0.00003608454,0.0002095687,0.00003944738,0.00001418595,0.0001262158,0.000002815384,0.00001203965,0.00004968464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2657869,"threshold_uncertainty_score":0.5664375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822159067146139,"score_gpt":0.2723571578536716,"score_spread":0.2641355671822103,"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."}}