{"id":"W4410898168","doi":"10.5267/j.dsl.2025.3.005","title":"Determinants of student satisfaction based on website information quality","year":2025,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Information quality; Business; Psychology; Marketing; Knowledge management; Computer science; Information system; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00662623,0.0001384545,0.0002867099,0.002372151,0.0003328768,0.000300923,0.001387148,0.00009700195,0.0001211004],"category_scores_gemma":[0.0035048,0.0001026336,0.0001133677,0.003607343,0.0005857455,0.001362523,0.0002055476,0.0001855764,0.0003276469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335182,"about_ca_system_score_gemma":0.0001419401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002990239,"about_ca_topic_score_gemma":0.00002913092,"domain_scores_codex":[0.9948206,0.0001261573,0.001178173,0.0004628684,0.003148527,0.0002636917],"domain_scores_gemma":[0.9967197,0.00111631,0.000513808,0.001125586,0.0004456575,0.00007890455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004902726,0.00003164816,0.7998487,0.000001198601,6.8172e-7,0.000001038101,0.00007878993,0.0006198322,0.004190696,0.0005926742,0.001702264,0.1928835],"study_design_scores_gemma":[0.0004825664,0.00004150465,0.9893123,0.00003855073,0.000003860593,8.480137e-7,0.0002890427,0.002920742,0.004441705,0.001080674,0.00128969,0.00009851913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935342,0.000002271762,0.06064126,0.002343677,0.00095636,0.0001939984,0.00001041637,0.00005868181,0.0004513782],"genre_scores_gemma":[0.9908814,0.000001224316,0.002970333,0.006094883,0.000005465348,0.000009374112,6.747499e-7,0.000002198233,0.00003438255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927849,"threshold_uncertainty_score":0.4211347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08206115771026147,"score_gpt":0.4563058134546999,"score_spread":0.3742446557444384,"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."}}