{"id":"W2209908108","doi":"10.5539/cis.v9n1p47","title":"An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation","year":2015,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qassim University","keywords":"Computer science; Technology acceptance model; Scope (computer science); Usability; Expert system; Software; Work (physics); Acceptance testing; Knowledge management; Software engineering; Human–computer interaction; Artificial intelligence","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":[0.02203025,0.0009706083,0.0008731622,0.002315061,0.0009355797,0.003911075,0.00161235,0.00225614,0.006174271],"category_scores_gemma":[0.04147889,0.0004822918,0.001245606,0.002135907,0.00160803,0.005719308,0.002706662,0.002042532,0.001392948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734218,"about_ca_system_score_gemma":0.003223705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671375,"about_ca_topic_score_gemma":0.002033411,"domain_scores_codex":[0.959259,0.03038109,0.00157787,0.001440193,0.006425124,0.0009166716],"domain_scores_gemma":[0.9636926,0.02313718,0.002149343,0.002786589,0.007416108,0.0008181595],"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":[0.001224388,0.003711579,0.1245389,0.001849432,0.0005620318,0.00107356,0.02776464,0.02985987,0.008349373,0.2026149,0.01265947,0.5857919],"study_design_scores_gemma":[0.0006613752,0.006992416,0.1309051,0.002330635,0.0007058791,0.002468419,0.02327884,0.6260716,0.008350777,0.1262803,0.07129718,0.0006574385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2113034,0.0006199861,0.703364,0.002779374,0.000146947,0.00563774,0.0004266461,0.001334429,0.07438762],"genre_scores_gemma":[0.8347469,0.0001909363,0.1562448,0.0004266815,0.00002757629,0.004538511,0.0003002414,0.00006055545,0.003463856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02203025,"threshold_uncertainty_score":0.1165085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14179332294474,"score_gpt":0.4107924212927077,"score_spread":0.2689990983479678,"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."}}