{"id":"W4413198328","doi":"10.1108/oir-07-2021-0385","title":"Exploring the moderating role of age and gender in adopting mHealth services","year":2025,"lang":"en","type":"article","venue":"Online Information Review","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"mHealth; Unified theory of acceptance and use of technology; Expectancy theory; Context (archaeology); Service provider; Knowledge management; Business; Marketing; Psychology; Service (business); Applied psychology; Computer science; Social psychology; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00181844,0.00006935887,0.0002162144,0.0002239117,0.00008888356,0.00005435108,0.0002792219,0.00003386103,0.00001676515],"category_scores_gemma":[0.0004589317,0.00004315085,0.00003370419,0.0007251135,0.00002795728,0.00101302,0.0001215452,0.0001700131,0.000009823213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001220377,"about_ca_system_score_gemma":0.00003196617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002367117,"about_ca_topic_score_gemma":0.00005526193,"domain_scores_codex":[0.9985499,0.00008415873,0.0009247945,0.00008647285,0.0002579856,0.00009673746],"domain_scores_gemma":[0.9990931,0.0001698897,0.0003188031,0.000264866,0.0001354229,0.00001794323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002486058,0.00001882217,0.01679564,0.000862309,0.000003369949,3.812634e-7,0.001790429,0.0001734584,0.000008932968,0.008724852,0.00007686065,0.9715425],"study_design_scores_gemma":[0.0005463526,0.00002409006,0.813245,0.004600182,0.00004098442,0.00001071223,0.01494062,0.02693896,0.00004333055,0.009000466,0.1303976,0.0002116685],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806695,0.01306056,0.000831711,0.003501043,0.00007957096,0.0003438349,0.00001090061,0.00004222229,0.001460649],"genre_scores_gemma":[0.9703197,0.02251128,0.003558964,0.003522489,0.000007873464,0.00003401368,0.00001502639,0.000002292024,0.00002835396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9713308,"threshold_uncertainty_score":0.1759641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.225835981885047,"score_gpt":0.424815143877738,"score_spread":0.198979161992691,"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."}}