{"id":"W4377138337","doi":"10.30587/e-link.v18i1.5330","title":"PENERAPAN METODE K-MEANS CLUSTERING DALAM MENGELOMPOKKAN JUMLAH PESERTA BPJS KESEHATAN JKN/KIS DI KABUPATEN CIREBON","year":2023,"lang":"id","type":"article","venue":"E-Link Jurnal Teknik Elektro dan Informatika","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; Mathematics; Forestry; Geography; 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":[0.001417966,0.001562715,0.001802604,0.001921325,0.001545246,0.00298496,0.001945315,0.001555744,0.01411901],"category_scores_gemma":[0.004558381,0.0007306475,0.002120963,0.00355413,0.0003880851,0.002105008,0.001561638,0.002123652,0.0118807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428514,"about_ca_system_score_gemma":0.003879255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03081083,"about_ca_topic_score_gemma":0.04781534,"domain_scores_codex":[0.9980984,0.0002085191,0.0002222771,0.0006710062,0.0005854898,0.0002142997],"domain_scores_gemma":[0.9981512,0.0002972294,0.00008265703,0.0002552473,0.001119994,0.00009346887],"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":[0.001793453,0.0007452707,0.02055356,0.002298872,0.0004459423,0.0002865212,0.0009240739,0.03421672,0.02369715,0.004630448,0.1826777,0.7277303],"study_design_scores_gemma":[0.0003948471,0.0006385961,0.0698713,0.0006774036,0.0004512892,0.0006784723,0.004012669,0.3850727,0.06957478,0.01715915,0.4509884,0.0004804379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1990762,0.004710962,0.5148906,0.004269651,0.003293014,0.002510533,0.19244,0.03211924,0.0466897],"genre_scores_gemma":[0.1674282,0.001978466,0.548422,0.0006141917,0.0002441432,0.002284563,0.2109583,0.002394033,0.06567617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03081083,"threshold_uncertainty_score":0.06126297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359866840078619,"score_gpt":0.2775844266510885,"score_spread":0.2539857582503023,"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."}}