{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.007720881,0.001883501,0.002034071,0.001496809,0.004670885,0.004230861,0.002754813,0.0009416302,0.0003446221],"category_scores_gemma":[0.001295531,0.001881978,0.001288101,0.00451495,0.001088008,0.007131823,0.00219369,0.00160131,0.002064958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814949,"about_ca_system_score_gemma":0.001597553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768977,"about_ca_topic_score_gemma":0.001452237,"domain_scores_codex":[0.9854429,0.0007795626,0.004540894,0.001181494,0.003999727,0.004055411],"domain_scores_gemma":[0.9926379,0.001156181,0.00240793,0.001257029,0.0007926723,0.001748312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00293476,0.0009905312,0.2060652,0.004261788,0.006835184,0.0007235266,0.5121288,0.0002159843,0.001347193,0.04661107,0.09012081,0.1277652],"study_design_scores_gemma":[0.003320226,0.0004797334,0.03260422,0.001301987,0.0003816564,0.00007177582,0.1477688,0.0004400438,0.0004885336,0.00007534782,0.8107108,0.002356902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5017691,0.0005218173,0.000008602033,0.002028569,0.003929616,0.001302517,0.00008265079,0.0008626228,0.4894946],"genre_scores_gemma":[0.912221,0.001901565,0.0003062776,0.0015265,0.001673302,0.0001887942,0.0008561281,0.0002133221,0.08111317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.72059,"threshold_uncertainty_score":0.9993909,"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."}}