{"id":"W4384347902","doi":"10.59697/jsik.v6i2.167","title":"PENERAPAN DATA MINING PENGELOMPOKAN DATA PENGGUNA AIR BERSIH BERDASARKAN KELUHANNYA MENGGUNAKAN METODE CLUSTERING PADA PDAM LANGKAT","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster (spacecraft); Cluster analysis; Humanities; Computer science; Art; Operating system; 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","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.005408099,0.001236806,0.001348057,0.0007536258,0.004670977,0.001941158,0.020083,0.0002899528,0.000385332],"category_scores_gemma":[0.0004173512,0.001359147,0.0003200295,0.002077482,0.0002753362,0.006078479,0.03572575,0.002879004,0.0003324856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006249924,"about_ca_system_score_gemma":0.001220362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007701244,"about_ca_topic_score_gemma":0.0005565685,"domain_scores_codex":[0.9892009,0.0008468668,0.002340479,0.002856971,0.002637739,0.002117006],"domain_scores_gemma":[0.9855598,0.0007223043,0.001853756,0.01058772,0.0002614431,0.001014988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005321294,0.002021864,0.007533485,0.001479399,0.002378293,0.0007728213,0.03982143,0.02996456,0.001288324,0.004794285,0.3358021,0.5736113],"study_design_scores_gemma":[0.001271107,0.0003702203,0.002192762,0.0001591318,0.000280997,0.0007821116,0.00343011,0.3365381,0.00005190276,0.0000119771,0.6537356,0.001175886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2381133,0.01433186,0.210191,0.06614495,0.03122626,0.011541,0.02890586,0.008656735,0.390889],"genre_scores_gemma":[0.8956428,0.0002677224,0.04182198,0.003714854,0.002167552,0.0002853215,0.02721008,0.0003195786,0.02857017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6575294,"threshold_uncertainty_score":0.9994214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625656695631132,"score_gpt":0.3009743017603898,"score_spread":0.2384086321972765,"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."}}