{"id":"W4312960749","doi":"10.2196/36807","title":"Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Wearable computer; System usability scale; Telehealth; Wearable technology; Applied psychology; Medicine; Population; Affect (linguistics); Psychology; Computer science; Telemedicine; Human–computer interaction; Health care; Web usability; Environmental health","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":[0.0005633258,0.0001327829,0.0002054672,0.0003567152,0.0009844704,0.00009786241,0.0003387445,0.00005419017,0.000119913],"category_scores_gemma":[0.0005934449,0.0001454059,0.00004153959,0.001160674,0.00008550494,0.0006584002,0.0001803464,0.0004296611,0.000009865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575783,"about_ca_system_score_gemma":0.0001006029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02499368,"about_ca_topic_score_gemma":0.06524098,"domain_scores_codex":[0.9980165,0.000493373,0.0002983808,0.0003519698,0.0004314065,0.0004083133],"domain_scores_gemma":[0.9992252,0.0002518842,0.0001457453,0.0002206845,0.0001043531,0.00005210957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004715494,0.0001484361,0.8389456,0.000003225606,0.00000934168,0.00001246924,0.1583072,0.0001535954,0.00004598301,0.002043623,0.00009859373,0.0002271189],"study_design_scores_gemma":[0.0004712112,0.0000350834,0.6973928,0.00003462177,0.000006651971,2.320096e-7,0.3009985,0.00008418271,0.00001626468,0.0002724874,0.0005468201,0.0001411754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974444,0.00006232556,0.00001950394,0.0004541902,0.0002005267,0.001131321,0.00000621816,0.0003014191,0.000380129],"genre_scores_gemma":[0.998835,0.00000187039,0.0002958124,0.0001460193,0.00001450027,0.0002818783,0.000003725848,0.00001815256,0.0004029893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1426912,"threshold_uncertainty_score":0.981499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07381736002105262,"score_gpt":0.3681526737530594,"score_spread":0.2943353137320068,"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."}}