{"id":"W2258994463","doi":"10.32597/dissertations/1581","title":"Testing the Technology Acceptance Model 3 (TAM 3) with the Inclusion of Change Fatigue and Overload, in the Context of Faculty from Seventh-day Adventist Universities: A Revised Model","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Burman University","keywords":"Learning Management; Context (archaeology); Inclusion (mineral); Consistency (knowledge bases); Information overload; Technology acceptance model; Higher education; Medical education; Computer science; Psychology; Knowledge management; Mathematics education; Medicine; Usability; World Wide Web; Political science; Artificial intelligence; Social psychology; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001733308,0.0002660926,0.0005177013,0.0003869571,0.0003418258,0.00004110817,0.001977831,0.0004352237,0.0000287367],"category_scores_gemma":[0.0004409566,0.0001167233,0.00007799088,0.001265044,0.0004765837,0.000249974,0.0004904261,0.0005722448,0.000001795066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006211063,"about_ca_system_score_gemma":0.00025805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668217,"about_ca_topic_score_gemma":0.00528545,"domain_scores_codex":[0.9974675,0.0002094541,0.0006018156,0.0004677313,0.001057708,0.0001958041],"domain_scores_gemma":[0.9966852,0.0006483438,0.001011124,0.0008913068,0.0007365122,0.00002751751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001789371,0.001093467,0.06662654,0.0001983231,0.0003046682,0.00005441247,0.4763307,0.007390128,0.006936616,0.05433775,0.01495964,0.3699784],"study_design_scores_gemma":[0.00204338,0.0002213358,0.047401,0.0006863954,0.0002087106,0.000008659782,0.7196297,0.1960486,0.000611425,0.0321787,0.0004829481,0.000479083],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926256,0.0005972559,0.002125548,0.00221348,0.00004948336,0.0008404403,0.0002963055,0.00004547256,0.001206415],"genre_scores_gemma":[0.9969243,0.00004245045,0.001121922,0.0001895535,0.000007558889,0.00005286839,0.00008511033,0.00001412944,0.001562145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3694993,"threshold_uncertainty_score":0.4759838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360542843821714,"score_gpt":0.4038285049027518,"score_spread":0.1677742205205804,"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."}}