{"id":"W2543700576","doi":"10.5539/ass.v12n12p1","title":"Individual Personality Factors as Drivers for Electronic and Mobile-Shopping Acceptance in United Arab Emirates","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Interactivity; Marketing; Business; Product (mathematics); Government (linguistics); Personality; Technology acceptance model; Originality; Sample (material); Advertising; Service (business); Psychology; Computer science; Social psychology; Multimedia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006666823,0.0002485955,0.0001714461,0.0005982692,0.0006959544,0.0008074151,0.0001565084,0.0002615828,0.002764155],"category_scores_gemma":[0.00130278,0.0001565713,0.000277721,0.0005310691,0.000357405,0.0002737689,0.0003853622,0.0003426567,0.0002384549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728603,"about_ca_system_score_gemma":0.0004520329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543214,"about_ca_topic_score_gemma":0.02201742,"domain_scores_codex":[0.9997432,0.00008249024,0.00002303291,0.00002158231,0.00006664368,0.00006312032],"domain_scores_gemma":[0.9991239,0.0001824531,0.0002961983,0.00003842506,0.0001909289,0.0001681665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003360877,0.00009652165,0.9867322,0.00003568213,0.0000247508,0.0002003872,0.003739641,0.00003726177,0.0003559575,0.000106693,0.0002194039,0.008417954],"study_design_scores_gemma":[0.000001516897,0.0000475567,0.9930565,0.0000244126,0.00000921339,0.0001320217,0.005957542,0.0001248447,0.00004649561,0.00002215263,0.0005742455,0.000003600237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988667,0.0001053158,0.00002424344,0.00008923808,0.000004010767,0.00000456589,0.00002146341,9.331544e-7,0.0008835557],"genre_scores_gemma":[0.9994503,0.0001366854,0.00005664952,0.00002827873,0.000003696229,0.000004244684,0.00002451658,6.228868e-7,0.0002951624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01543214,"threshold_uncertainty_score":0.03068465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07965576593046805,"score_gpt":0.3870858226378928,"score_spread":0.3074300567074247,"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."}}