{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361954,0.00153574,0.001590754,0.002417905,0.00116188,0.00309843,0.001641579,0.001250907,0.00667224],"category_scores_gemma":[0.003572524,0.0007445286,0.00181056,0.003996755,0.0004045285,0.002795865,0.001532585,0.001667477,0.005770248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211796,"about_ca_system_score_gemma":0.002315244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857984,"about_ca_topic_score_gemma":0.01649876,"domain_scores_codex":[0.998403,0.0002321084,0.0001565104,0.0005291066,0.0005317043,0.0001476714],"domain_scores_gemma":[0.9986154,0.0003327692,0.00005726651,0.0002126125,0.0007178556,0.00006416837],"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":[0.0006302836,0.0002506848,0.005376745,0.0008860748,0.0003258302,0.000351423,0.0005689093,0.06534038,0.02257401,0.006681138,0.02690511,0.8701093],"study_design_scores_gemma":[0.00008617806,0.0003008644,0.007436251,0.0002039096,0.0002034567,0.000659816,0.001232625,0.8641477,0.03284717,0.01802178,0.07472334,0.0001368126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04206729,0.003231604,0.92922,0.001360136,0.0006053186,0.0004595274,0.005319002,0.00742879,0.01030832],"genre_scores_gemma":[0.2279082,0.003504277,0.7143744,0.0004739763,0.0002972157,0.0008019878,0.01937221,0.001419186,0.03184863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01857984,"threshold_uncertainty_score":0.03694338,"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."}}