{"id":"W4256581885","doi":"10.28945/913","title":"The Emotional State of Technology Acceptance","year":2006,"lang":"en","type":"article","venue":"Issues in Informing Science and Information Technology","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multidisciplinary approach; State (computer science); Association (psychology); Technology acceptance model; Affect (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002430782,0.0002117719,0.0002836875,0.0009846142,0.001129107,0.004736394,0.0003470902,0.00106289,0.002642151],"category_scores_gemma":[0.01794407,0.0001321551,0.0002824428,0.0007490102,0.002856408,0.002025694,0.002283979,0.001778464,0.000312331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408359,"about_ca_system_score_gemma":0.000440397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008996525,"about_ca_topic_score_gemma":0.0006763571,"domain_scores_codex":[0.9972932,0.001544358,0.00008402639,0.0001647617,0.0006700999,0.00024359],"domain_scores_gemma":[0.9879616,0.006773748,0.002193937,0.0004166456,0.001285542,0.001368562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009382542,0.0009578058,0.2913398,0.0007954291,0.0005835047,0.001355148,0.4057271,0.000910728,0.008283462,0.04808757,0.01252746,0.2284937],"study_design_scores_gemma":[0.0000754939,0.0008773315,0.6665288,0.0005350037,0.000199982,0.001659673,0.2339675,0.001685046,0.001182031,0.03701451,0.05601173,0.0002628551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217006,0.003947202,0.001703442,0.006577683,0.0002998747,0.00004341159,0.00008974722,0.00002498397,0.06561312],"genre_scores_gemma":[0.9978657,0.0006363101,0.00008051099,0.0005288688,0.00004262804,0.00001880456,0.00002145518,0.000004857449,0.0008008751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004736394,"threshold_uncertainty_score":0.01285535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309643129736902,"score_gpt":0.2814881216459855,"score_spread":0.2751784785162486,"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."}}