{"id":"W2015587506","doi":"10.5539/cis.v2n1p18","title":"End-User Computing Satisfaction (EUCS) in Computerised Accounting System (CAS): Which the Critical Factors? A Case in Malaysia","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; User satisfaction; Human–computer interaction","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":[0.001991017,0.0001213272,0.0001935233,0.0008343367,0.001139087,0.002583433,0.000432591,0.0005072445,0.003835188],"category_scores_gemma":[0.006536038,0.0001526842,0.0004094914,0.001614949,0.001218042,0.001207254,0.001219796,0.0008929061,0.000294548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003688221,"about_ca_system_score_gemma":0.002542812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05444939,"about_ca_topic_score_gemma":0.06163879,"domain_scores_codex":[0.9973687,0.001015759,0.0002651757,0.0001571567,0.0004953119,0.0006978699],"domain_scores_gemma":[0.9906611,0.00290062,0.002560127,0.0002774953,0.001717968,0.001882713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764993,0.0002409337,0.9697242,0.00003822572,0.00001623473,0.000742307,0.01067879,0.0002508065,0.0002585117,0.002352244,0.0006035034,0.01491764],"study_design_scores_gemma":[0.000003486163,0.000158058,0.9517963,0.00003398174,0.00001918782,0.0004845998,0.04422232,0.001283785,0.0002691741,0.0002616869,0.001447258,0.00002028057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961019,0.0000692896,0.00008198547,0.0004073856,0.000002907017,0.000005563661,0.00003036994,0.000002520782,0.003298283],"genre_scores_gemma":[0.9995472,0.00001910748,0.00002606482,0.00001264365,9.84301e-7,8.725664e-7,0.000008098342,7.805271e-7,0.0003842247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05444939,"threshold_uncertainty_score":0.1082649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030906936342681,"score_gpt":0.3477851946571701,"score_spread":0.3074761252937433,"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."}}