{"id":"W4384573865","doi":"10.59697/jsik.v6i2.170","title":"Clustering Peserta Kb Aktif Di Kota Binjai Menggunakan Metode K-Means (Study Kasus BKKBN Kota Binjai)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Mathematics; 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":[0.001599688,0.001101478,0.001065296,0.004620321,0.001388741,0.003758084,0.001245587,0.00105749,0.00798359],"category_scores_gemma":[0.005973865,0.0005389929,0.001118346,0.006408373,0.0006265619,0.002500607,0.001543241,0.00113901,0.003662885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109203,"about_ca_system_score_gemma":0.00260899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06808526,"about_ca_topic_score_gemma":0.06970397,"domain_scores_codex":[0.9979807,0.0002621234,0.0001631011,0.0005704041,0.0007361149,0.0002876784],"domain_scores_gemma":[0.9966298,0.001074811,0.0002736588,0.0003258427,0.001534697,0.0001611764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002089408,0.0004634459,0.05134442,0.001397721,0.0005363505,0.0003185202,0.002804016,0.06511664,0.02059631,0.006585413,0.01972968,0.8290181],"study_design_scores_gemma":[0.0001643826,0.0007283233,0.151925,0.0005757697,0.0008709428,0.0008865668,0.01151127,0.7021155,0.05600207,0.01691367,0.05784847,0.0004579675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5713792,0.005888519,0.3719062,0.001897544,0.0007081372,0.0007591445,0.008323053,0.009524752,0.02961345],"genre_scores_gemma":[0.7255539,0.002080717,0.2240921,0.0002224051,0.0001076175,0.0004105484,0.007518289,0.0007259583,0.03928849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06808526,"threshold_uncertainty_score":0.1353779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902942766044984,"score_gpt":0.2670985144926001,"score_spread":0.2480690868321502,"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."}}