{"id":"W2149441582","doi":"10.1109/icastech.2014.7068108","title":"Antecedent factors to end-users' symbolic acceptance of enterprise systems: An analysis in Nigerian organizations","year":2014,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Antecedent (behavioral psychology); Technology acceptance model; Knowledge management; Work (physics); Computer science; Perception; Empirical research; Psychology; Social psychology; Engineering; Usability; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009255943,0.0001412287,0.0004680534,0.001829866,0.0000714763,0.0001200663,0.001004008,0.0001338562,0.00147328],"category_scores_gemma":[0.001174663,0.0001064342,0.00008675365,0.005685338,0.00005854402,0.0002785766,0.0001310698,0.00009904322,0.0001251546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005110601,"about_ca_system_score_gemma":0.00003313012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004775802,"about_ca_topic_score_gemma":0.004188785,"domain_scores_codex":[0.997696,0.0002220605,0.0007816462,0.0004783523,0.0006012041,0.0002207365],"domain_scores_gemma":[0.9980704,0.0001797834,0.0002021649,0.00101807,0.0003696697,0.0001598789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004232809,0.0001019377,0.9933885,9.39613e-7,0.0000174701,7.400107e-7,0.001361282,0.001076355,0.001048694,0.002383164,0.0001320184,0.0004846542],"study_design_scores_gemma":[0.0001507289,0.00005290222,0.987094,0.000006346724,0.00003589364,8.052212e-7,0.008337045,0.00184169,0.001761081,0.0001012975,0.0004905942,0.0001276297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407996,0.00000792631,0.05806608,0.0002882814,0.0001900903,0.0001678016,0.00002090151,0.000112288,0.0003470124],"genre_scores_gemma":[0.9985291,0.000002945283,0.0004969412,0.0001178054,0.00001023076,0.00000834455,0.00000858878,0.000009817626,0.0008162483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05772946,"threshold_uncertainty_score":0.9994395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371496350772742,"score_gpt":0.3515828896821244,"score_spread":0.3144332546048502,"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."}}