{"id":"W4360592109","doi":"10.5267/j.dsl.2023.1.007","title":"Exploring the quality of the higher educational institution website using data mining techniques","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prince Sattam bin Abdulaziz University","keywords":"Usability; Quality (philosophy); Computer science; Naive Bayes classifier; Service quality; Variety (cybernetics); Service (business); Information quality; World Wide Web; Data science; Knowledge management; Support vector machine; Information system; Engineering; Business; Machine learning; Marketing; Artificial intelligence","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":[0.002774268,0.0003751143,0.0007068123,0.007599376,0.0004739279,0.003169993,0.0004817264,0.0005622261,0.0006741632],"category_scores_gemma":[0.01365841,0.0002016515,0.001034341,0.005619522,0.0003173932,0.001924228,0.0005331318,0.0007234407,0.0002946215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008255714,"about_ca_system_score_gemma":0.000888531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005273019,"about_ca_topic_score_gemma":0.005469342,"domain_scores_codex":[0.9975325,0.0007358082,0.0004063542,0.0002798828,0.0008774413,0.0001679732],"domain_scores_gemma":[0.9799411,0.01238571,0.002800065,0.0008160246,0.0036464,0.0004108845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002241919,0.0008710914,0.8058389,0.0006102892,0.0003537099,0.0003744788,0.00172812,0.01125944,0.003650823,0.001114546,0.001638028,0.1723364],"study_design_scores_gemma":[0.00002340755,0.000693174,0.7361106,0.0002904317,0.0002695193,0.0007172604,0.006564565,0.2381782,0.00986527,0.002622338,0.004562847,0.0001022049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966344,0.0004047758,0.0269145,0.0005098501,0.00002296529,0.0002247365,0.002263206,0.0002443968,0.003071645],"genre_scores_gemma":[0.9718997,0.0002660762,0.02471283,0.0000345525,0.00001601947,0.000101839,0.002427076,0.00001566948,0.0005262729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007599376,"threshold_uncertainty_score":0.01467192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.472637560762548,"score_gpt":0.4297462754052321,"score_spread":0.0428912853573159,"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."}}