{"id":"W4408306606","doi":"10.2196/60156","title":"Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Psychology; Cross-sectional study; Interpretation (philosophy); Applied psychology; Clinical psychology; Medicine; Computer 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001085417,0.0001565232,0.0003813603,0.0008830029,0.001383907,0.00002018438,0.0002492976,0.0001550267,0.00002179416],"category_scores_gemma":[0.000154981,0.0001222718,0.0001177099,0.003816964,0.00008257621,0.0001553542,0.00004817109,0.0003892048,0.000001774887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181544,"about_ca_system_score_gemma":0.0006049642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001728806,"about_ca_topic_score_gemma":0.0007426903,"domain_scores_codex":[0.9974961,0.0002434288,0.001198327,0.00046465,0.0002012514,0.000396295],"domain_scores_gemma":[0.9979066,0.000420448,0.0006269671,0.0004210468,0.0005288471,0.00009613326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008684016,0.0001845026,0.9579058,0.0006685351,0.0001202361,9.537864e-9,0.005927701,0.006572954,0.00002656636,0.00195088,0.0003709806,0.026185],"study_design_scores_gemma":[0.001498787,0.0001256711,0.7523353,0.0001003215,0.0001105595,4.274673e-7,0.006898718,0.236445,0.00001438815,0.001434233,0.0009259391,0.0001106477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6390033,0.000641614,0.3456478,0.001232957,0.0003197047,0.01282571,0.00009674813,0.000110747,0.000121425],"genre_scores_gemma":[0.9608546,0.0001108553,0.001721035,0.0005516271,0.000044117,0.03584776,0.00006461771,0.00001330745,0.0007920006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3439267,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311658351708495,"score_gpt":0.4662303359230081,"score_spread":0.4231137524059231,"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."}}