{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003189164,0.0001146323,0.0001529763,0.00126729,0.000156307,0.0004276079,0.0008237342,0.0001140178,0.00001688037],"category_scores_gemma":[0.0004391725,0.00007765101,0.00001384654,0.001954061,0.0004992186,0.01043078,0.0001169292,0.0001241002,0.00002085683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008964886,"about_ca_system_score_gemma":0.0004453404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005876317,"about_ca_topic_score_gemma":0.0000293814,"domain_scores_codex":[0.9980332,0.00003145354,0.0004360072,0.0003085705,0.0009598565,0.0002309048],"domain_scores_gemma":[0.9976803,0.00005294309,0.0001682767,0.0004327771,0.0015466,0.0001191097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001318594,0.00009045198,0.0394524,0.000001897508,0.000002574972,5.24903e-7,0.01172164,0.03372658,0.0002179145,0.02071978,0.002699528,0.8912349],"study_design_scores_gemma":[0.000968206,0.0001808855,0.02327269,0.000007957141,0.0000018636,0.00001198252,0.002087844,0.9642747,0.00031821,0.002115455,0.006633979,0.0001261978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4935122,0.000008268345,0.5055303,0.0004435064,0.0001075359,0.0002410232,0.000004132175,0.00006026292,0.00009275944],"genre_scores_gemma":[0.926122,0.000003528997,0.07311381,0.0006539792,0.00001053264,0.00005856627,0.000007830196,0.000002687252,0.00002709581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9305481,"threshold_uncertainty_score":0.7562065,"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."}}