{"id":"W2487527547","doi":"10.5539/hes.v6n3p72","title":"Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model","year":2016,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Psychology; Conceptual model; Knowledge management; Affect (linguistics); Conceptual framework; Social influence; Quality (philosophy); Social psychology; Computer science; Usability; Sociology","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":[0.002621711,0.0005124022,0.0004021487,0.001981925,0.0003753956,0.00191534,0.001060075,0.001173392,0.004087435],"category_scores_gemma":[0.007000255,0.0002533263,0.0009076933,0.001419187,0.001045898,0.002878028,0.001427095,0.001225796,0.0004217282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828151,"about_ca_system_score_gemma":0.001091758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846899,"about_ca_topic_score_gemma":0.001339543,"domain_scores_codex":[0.9984556,0.0008735771,0.0001027494,0.0001187559,0.0003035145,0.0001458216],"domain_scores_gemma":[0.9933777,0.004145661,0.001007681,0.0001947196,0.0008058411,0.0004683677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002446874,0.002276829,0.7124343,0.0003740375,0.0004224494,0.001055554,0.01860939,0.01932031,0.001871301,0.1329394,0.002556664,0.107895],"study_design_scores_gemma":[0.0001918395,0.001920287,0.5331888,0.0009166615,0.0004283223,0.002206216,0.02820704,0.3098024,0.0008440418,0.1077416,0.01432372,0.0002291055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258493,0.0005045891,0.05365051,0.003517517,0.00004169489,0.0004008433,0.0002941476,0.00007921911,0.01566219],"genre_scores_gemma":[0.9945268,0.000213946,0.00387655,0.00007327509,0.00001623819,0.0002504705,0.0001076841,0.000003847411,0.0009311194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004087435,"threshold_uncertainty_score":0.01386511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09866837878738649,"score_gpt":0.3979386593165764,"score_spread":0.2992702805291899,"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."}}