{"id":"W2164625619","doi":"10.28945/2945","title":"The Emotional State of Technology Acceptance","year":2006,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Affect (linguistics); Anxiety; Perception; Usability; Psychology; Technology acceptance model; Scale (ratio); Social psychology; Applied psychology; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008797607,0.0000505405,0.00005346961,0.0002092364,0.00120533,0.000116565,0.0004381974,0.00004201911,0.00002093516],"category_scores_gemma":[0.0005591636,0.00004055231,0.000009727652,0.0009435391,0.002863925,0.0005010741,0.00003845636,0.00008188656,0.000007497241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006758465,"about_ca_system_score_gemma":0.003817319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005655157,"about_ca_topic_score_gemma":0.0007508361,"domain_scores_codex":[0.999115,0.0000106918,0.0001838158,0.000132795,0.0003361482,0.0002215502],"domain_scores_gemma":[0.9987116,0.00005929128,0.0001323439,0.0001586924,0.000903909,0.00003409709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001082141,0.00002509169,0.0108291,0.000002698764,9.20547e-7,1.864456e-8,0.002879955,0.000001292495,0.0004909763,0.6103221,0.0008718511,0.3745749],"study_design_scores_gemma":[0.0001222784,0.00005405867,0.1708972,0.00006304875,0.000007409354,0.000008963069,0.07871948,0.0001224539,0.007237661,0.4755772,0.2669544,0.0002358552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941441,0.0001458607,0.0003090695,0.02980313,0.0007078121,0.0001657367,0.000001221794,0.00004598559,0.07467709],"genre_scores_gemma":[0.9973363,0.000157367,0.0005560289,0.0001207285,0.00004279531,0.00002045794,7.895903e-7,0.000001363283,0.001764214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3743391,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652108400675703,"score_gpt":0.3230204435253126,"score_spread":0.3064993595185556,"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."}}