{"id":"W4387881271","doi":"10.61306/jnastek.v3i4.107","title":"Pengelompokan Tamu Hotel Dengan Menggunakan Metode K-Means Clustering","year":2023,"lang":"en","type":"article","venue":"Jurnal Nasional Teknologi Komputer","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Service (business); Business; Marketing; Resource (disambiguation); Computer science; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009906536,0.0003677176,0.0003889077,0.0006863139,0.0005019365,0.0004047706,0.0007534654,0.0002202957,0.0002823108],"category_scores_gemma":[0.0001006585,0.0003181953,0.0002529474,0.00123502,0.00008218365,0.001074166,0.0009370322,0.0005721611,0.003789607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005977265,"about_ca_system_score_gemma":0.00003998406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198352,"about_ca_topic_score_gemma":0.000257425,"domain_scores_codex":[0.9974152,0.00005173859,0.0005391118,0.0005917873,0.0006606815,0.0007414782],"domain_scores_gemma":[0.9989068,0.0002032473,0.0002465931,0.0003986889,0.0001894919,0.00005516263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001217623,0.002217094,0.1116031,0.003074394,0.001560291,0.004215937,0.002362167,0.03530928,0.02627052,0.09303398,0.5175747,0.201561],"study_design_scores_gemma":[0.001946437,0.0000652116,0.3439391,0.0002243934,0.0001177342,0.00009351529,0.0006375594,0.1042939,0.000345306,0.007676965,0.5394119,0.00124797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778345,0.0001167696,0.002467171,0.01050292,0.002490183,0.0003475536,0.00001366087,0.001435101,0.004792132],"genre_scores_gemma":[0.9819939,0.00003893179,0.001573898,0.009462817,0.00549356,0.000027577,0.0001255593,0.00007086452,0.001212968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232336,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448347600490642,"score_gpt":0.2692797708549018,"score_spread":0.2244450108058376,"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."}}