{"id":"W4311661810","doi":"10.1016/j.chb.2022.107615","title":"Psychological barriers of using wearable devices by seniors: A mixed-methods study","year":2022,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster Institute for Research on Aging, McMaster University; McMaster University","keywords":"Wearable computer; Wearable technology; Psychology; Applied psychology; Population; Computer science; Medicine; Environmental health","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":[0.001666537,0.0001470764,0.0003179713,0.0002665145,0.000845552,0.00003544636,0.0009506649,0.0001122907,0.0002723097],"category_scores_gemma":[0.00005422467,0.000167157,0.00007273879,0.0006959353,0.0004658097,0.0001136361,0.0004444573,0.000448291,0.000001075593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379106,"about_ca_system_score_gemma":0.00005390291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443471,"about_ca_topic_score_gemma":0.0005379685,"domain_scores_codex":[0.9968868,0.001451638,0.0004016607,0.0004702559,0.0003946322,0.0003949773],"domain_scores_gemma":[0.9991968,0.0001279728,0.0001776636,0.0003595264,0.00003745641,0.0001005686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002094087,0.00247888,0.90688,0.00001028,0.00002741206,0.0001196468,0.04458996,0.0001934851,0.00593277,0.0005624749,0.002068537,0.03711558],"study_design_scores_gemma":[0.006245905,0.002976351,0.5973305,0.0001481333,0.0003242808,0.00004515953,0.3747391,0.0008750735,0.001389831,0.001945849,0.01211975,0.001860128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973694,0.0001166092,0.0006694017,0.00006999703,0.0007357317,0.0007263123,0.000009567979,0.000164857,0.0001380929],"genre_scores_gemma":[0.9846268,0.000001830223,0.01509246,0.00006076673,0.00002632019,0.0001267216,0.000002139537,0.00001569171,0.00004730343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3301491,"threshold_uncertainty_score":0.6816466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04412123286878126,"score_gpt":0.4202440263763477,"score_spread":0.3761227935075664,"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."}}