{"id":"W3213160915","doi":"10.5267/j.ijdns.2021.9.008","title":"Technology acceptance drivers for AR smart glasses in the middle east: A quantitative study","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British University in Dubai","keywords":"Psychology; Usability; Exploratory research; Exploratory factor analysis; Regression analysis; Technology acceptance model; Value (mathematics); Variables; Marketing; Applied psychology; Business; Computer science; Statistics; Sociology; Mathematics; Social 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":[0.001473776,0.00005452811,0.00009883782,0.0001405647,0.0001334176,0.0003387786,0.003494376,0.00001581619,0.000001666641],"category_scores_gemma":[0.0004725954,0.00003814729,0.00001681127,0.0009990376,0.0001900523,0.001555746,0.0005827188,0.0001112265,9.081008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000286325,"about_ca_system_score_gemma":0.0002977709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005832405,"about_ca_topic_score_gemma":0.0001141658,"domain_scores_codex":[0.9988976,0.0000413074,0.0002353342,0.0002308925,0.0004451957,0.0001496979],"domain_scores_gemma":[0.9986704,0.0002440931,0.0001794254,0.0003831951,0.0004822477,0.000040659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001223596,0.001580499,0.06641658,0.000009661378,0.0001834882,0.000261352,0.01547564,0.001634654,0.002116323,0.6064461,0.006597258,0.2991561],"study_design_scores_gemma":[0.005815925,0.003167051,0.3170049,0.0006027746,0.00008227465,0.002118805,0.06463872,0.3336084,0.0009313031,0.1571026,0.1140863,0.0008409653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5230325,0.0004686449,0.4642966,0.01128592,0.0005124436,0.0001879073,0.00002789489,0.000007152389,0.0001810039],"genre_scores_gemma":[0.9561132,0.0001265394,0.04334408,0.000334144,0.00006754763,0.000004110214,0.000002250686,0.000001360366,0.000006742404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4493435,"threshold_uncertainty_score":0.6493479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336159160674604,"score_gpt":0.3818302907233779,"score_spread":0.2482143746559175,"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."}}