{"id":"W4384573777","doi":"10.59697/jsik.v6i2.197","title":"PENERAPAN METODE CLUSTERING UNTUK PENGELOMPOKAN DATA PESERTA DIDIK BARU (PPDB) DI SMP SWASTA GOTONG ROYONG KUALA","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.003689966,0.001160331,0.001241652,0.0006975717,0.004527905,0.00289223,0.01147725,0.000271104,0.0004599463],"category_scores_gemma":[0.0003505195,0.001239283,0.0004594541,0.002158216,0.0002551154,0.004263232,0.01784809,0.003174326,0.0004147615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959846,"about_ca_system_score_gemma":0.00107691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007420865,"about_ca_topic_score_gemma":0.0004513556,"domain_scores_codex":[0.9903178,0.0007428999,0.00235904,0.002122367,0.002408394,0.002049532],"domain_scores_gemma":[0.9906069,0.0006203966,0.001635325,0.005846815,0.0002934596,0.0009970914],"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":[0.0008037488,0.003009918,0.02226637,0.002122786,0.002498741,0.0008436841,0.04128117,0.1237899,0.003242255,0.03016768,0.05709421,0.7128795],"study_design_scores_gemma":[0.001278879,0.0004519526,0.007716673,0.0001566987,0.0001863959,0.0007699563,0.001809378,0.4290429,0.0001105756,0.00002296272,0.5572798,0.001173856],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3123422,0.007520248,0.2558889,0.02392323,0.01912588,0.007429679,0.004650457,0.00492929,0.3641901],"genre_scores_gemma":[0.9661775,0.000200518,0.006524096,0.001078588,0.000846964,0.0003311421,0.002743615,0.0001794765,0.0219181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7117057,"threshold_uncertainty_score":0.9991254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947436998063242,"score_gpt":0.2863122232709386,"score_spread":0.2468378532903062,"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."}}