{"id":"W4415360709","doi":"10.59934/jaiea.v5i1.1669","title":"Clustering of High-Achieving Students Based on Scores at Junior High School Level Using K-Means Algorithm","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","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; Variance (accounting); k-means clustering; MATLAB; Process (computing); Quality (philosophy); Educational data mining","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":[0.001168836,0.0009014884,0.001214768,0.004008783,0.001103868,0.001344917,0.001159734,0.0007986295,0.001663714],"category_scores_gemma":[0.003826824,0.0003018841,0.001431345,0.002722776,0.0004112931,0.000526786,0.0009161867,0.0007049681,0.0009937164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847408,"about_ca_system_score_gemma":0.002047915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585353,"about_ca_topic_score_gemma":0.01559228,"domain_scores_codex":[0.9989228,0.0001481745,0.0001737663,0.0003012811,0.0002852714,0.0001686723],"domain_scores_gemma":[0.9987501,0.0002944773,0.0001830752,0.0001344134,0.0005490244,0.00008893491],"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":[0.001180758,0.001153677,0.1713399,0.0005213368,0.0005616781,0.0004953871,0.003267922,0.2189937,0.02136192,0.002738916,0.008589471,0.5697955],"study_design_scores_gemma":[0.00005378672,0.0003566663,0.0938639,0.00008721866,0.0001406533,0.0002166728,0.002074871,0.8786595,0.01470765,0.00439701,0.005273135,0.0001689675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5443931,0.0002189099,0.4468521,0.000259768,0.00007742403,0.0008995433,0.001779947,0.002434752,0.003084603],"genre_scores_gemma":[0.7220914,0.0001465818,0.2710932,0.0000322982,0.00002061293,0.0005610696,0.003246403,0.0001217693,0.002686656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585353,"threshold_uncertainty_score":0.05140615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704400644000862,"score_gpt":0.3150561453789901,"score_spread":0.2780121389389815,"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."}}