{"id":"W4281838861","doi":"10.2196/30960","title":"Impact of the Moderating Effect of National Culture on Adoption Intention in Wearable Health Care Devices: Meta-analysis","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Psychology; Moderation; Meta-analysis; Uncertainty avoidance; Wearable technology; Usability; Health care; mHealth; Collectivism; Affect (linguistics); Social psychology; Applied psychology; Wearable computer; Individualism; Medicine; Psychological intervention; Engineering; Computer science; Political science","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":[0.006219827,0.0004004603,0.003753421,0.001584287,0.0004052932,0.00004197242,0.0006457826,0.0003516482,0.0002366767],"category_scores_gemma":[0.0004882232,0.000202288,0.002349051,0.003891602,0.00009128929,0.0001219116,0.000151349,0.001146093,0.000003753244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000826602,"about_ca_system_score_gemma":0.001724383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007301983,"about_ca_topic_score_gemma":0.0007345339,"domain_scores_codex":[0.9917488,0.003216327,0.002258117,0.0007426205,0.001639889,0.0003942381],"domain_scores_gemma":[0.9947151,0.0008729626,0.003306035,0.0006797539,0.0002583237,0.0001678489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001956767,0.0004736581,0.02377868,0.02284671,0.006694608,0.000001771331,0.003639025,0.00117105,1.346679e-7,0.001043596,0.001327925,0.9388272],"study_design_scores_gemma":[0.00716735,0.02359066,0.3050369,0.009284391,0.2139241,0.0001706181,0.01139901,0.003197098,0.000002365332,0.002135153,0.4205441,0.003548208],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01054636,0.9867354,0.00003158906,0.0002285873,0.0001205802,0.001705119,0.0004860296,0.00002614645,0.0001201781],"genre_scores_gemma":[0.1799484,0.8191227,0.0001008977,0.0002016899,0.00002059931,0.0003182946,0.0001542195,0.00002257692,0.0001105583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.935279,"threshold_uncertainty_score":0.8249066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3394675371224961,"score_gpt":0.5428894042378138,"score_spread":0.2034218671153178,"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."}}