{"id":"W4394982810","doi":"10.29103/sisfo.v7i2.13942","title":"PERBANDINGAN KUALITAS WEBSITE KEMENTERIAN KOMUNIKASI DAN INFORMATIKA MENGGUNAKAN METODE WEBQUAL 4.0 (STUDI KASUS WEBSITE KOMINFO KAB. KARO DAN KOTA LHOKSEUMAWE)","year":2023,"lang":"id","type":"article","venue":"Sisfo Jurnal Ilmiah Sistem Informasi","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Computer science","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":[0.00343772,0.000386327,0.0004000283,0.002113437,0.001769616,0.008890574,0.0005401645,0.0008183924,0.05052323],"category_scores_gemma":[0.007687488,0.0003070497,0.0003523526,0.003186417,0.0009717237,0.00614451,0.002666801,0.001472475,0.01671747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221519,"about_ca_system_score_gemma":0.004299753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006676855,"about_ca_topic_score_gemma":0.01015042,"domain_scores_codex":[0.9967584,0.000829922,0.0001972951,0.0003920674,0.001321013,0.0005014729],"domain_scores_gemma":[0.9944395,0.002177168,0.0004279145,0.0005628106,0.001592352,0.0008002639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004619275,0.0007984855,0.082206,0.002419298,0.00008787044,0.0007977488,0.06809522,0.0005052049,0.004589267,0.04997419,0.06716221,0.7229026],"study_design_scores_gemma":[0.00004681483,0.0003224722,0.1256683,0.001218843,0.0001133727,0.0006646585,0.06241117,0.0004778696,0.005043298,0.005953794,0.7979689,0.0001105905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4511823,0.003868434,0.005875439,0.00430746,0.0002708975,0.000523865,0.00338339,0.0007473489,0.5298409],"genre_scores_gemma":[0.7674683,0.004907896,0.006501942,0.001195889,0.0001144231,0.0005823134,0.003066506,0.0004453924,0.2157173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05052323,"threshold_uncertainty_score":0.169017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251260585364427,"score_gpt":0.291646547124043,"score_spread":0.2591339412703987,"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."}}