{"id":"W4403084003","doi":"10.60076/indotech.v2i2.644","title":"Pengelompokan Data Siswa Berdasarkan Profil Pelajar Pancasila Menggunakan Metode Clustering (Studi Kasus SMK Putra Anda Binjai)","year":2024,"lang":"id","type":"article","venue":"Indonesian Journal of Education And Computer Science","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":"Cluster analysis; Mathematics; Psychology; Humanities; Statistics; Philosophy","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004080936,0.00046567,0.0005516177,0.001145597,0.001005027,0.004164526,0.004842579,0.0001140488,0.00001933811],"category_scores_gemma":[0.00014971,0.000418378,0.0001228443,0.002650278,0.0006697704,0.003735763,0.002006796,0.0009862588,0.00005763692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011228,"about_ca_system_score_gemma":0.004751164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005824223,"about_ca_topic_score_gemma":0.00001127188,"domain_scores_codex":[0.9952652,0.0002943119,0.001155763,0.001456165,0.001115268,0.000713276],"domain_scores_gemma":[0.9958645,0.0002996834,0.0007047928,0.001764681,0.0006418754,0.0007244841],"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":[0.00002623867,0.0006999919,0.002609516,0.0003477103,0.0001671033,0.00009204233,0.01270981,0.0001829282,0.0006771618,0.005478874,0.0135957,0.9634129],"study_design_scores_gemma":[0.001394952,0.001475984,0.08596738,0.002894355,0.0004421849,0.008396343,0.002244855,0.7272624,0.0004813172,0.001133763,0.1666163,0.001690192],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1347019,0.0100765,0.8245431,0.01563055,0.01294384,0.0005591629,0.00004805574,0.0001919356,0.001304974],"genre_scores_gemma":[0.9052812,0.0003377877,0.0913098,0.000708753,0.001862751,0.00001256654,0.00002105148,0.00003567214,0.0004304284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9617227,"threshold_uncertainty_score":0.9998268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387993591077443,"score_gpt":0.3303383851433516,"score_spread":0.2964584492325771,"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."}}