{"id":"W3043360572","doi":"10.35145/joisie.v4i1.510","title":"MENENTUKAN STRATEGI PROMOSI MENGGUNAKAN ALGORITMA CLUSTERING K-MEANS","year":2020,"lang":"id","type":"article","venue":"JOISIE (Journal Of Information Systems And Informatics Engineering)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Physics; Psychology; Art","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":[0.002508141,0.001948136,0.001333889,0.001870306,0.001704527,0.004241488,0.002030498,0.001535752,0.007679917],"category_scores_gemma":[0.004066235,0.0006979457,0.001695201,0.002081297,0.000778413,0.003014183,0.001723465,0.001810536,0.004938421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850435,"about_ca_system_score_gemma":0.003501833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009799448,"about_ca_topic_score_gemma":0.01012068,"domain_scores_codex":[0.997638,0.0006323849,0.000188912,0.000616002,0.0007114374,0.0002133372],"domain_scores_gemma":[0.9981778,0.0005251491,0.0001080369,0.0002534726,0.0008394719,0.00009612516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004135248,0.0003184305,0.006102607,0.001262004,0.0004092305,0.0001996913,0.001041546,0.1497088,0.01679119,0.02323107,0.01937365,0.7811483],"study_design_scores_gemma":[0.000100517,0.0003629387,0.003955974,0.0003156025,0.0003395134,0.0003659709,0.001663592,0.8327944,0.02769094,0.03358207,0.09863482,0.0001936618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02834385,0.002644812,0.9360297,0.001745836,0.0004105209,0.0006886664,0.0007082947,0.003586168,0.0258422],"genre_scores_gemma":[0.2320085,0.002772628,0.7290188,0.0006254638,0.0001861453,0.001070757,0.001581505,0.0005529001,0.03218327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009799448,"threshold_uncertainty_score":0.02569187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259489672502673,"score_gpt":0.2183733600059276,"score_spread":0.2057784632809009,"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."}}