{"id":"W7115067809","doi":"10.46576/device.v6i2.7432","title":"PENGELOMPOKAN DATA KELUHAN PASIEN PADA LAYANAN RUMAH SAKIT BERDASARKAN KATEGORI MASALAH MENGGUNAKAN METODE CLUSTERING","year":2025,"lang":"","type":"article","venue":"DEVICE JOURNAL OF INFORMATION SYSTEM COMPUTER SCIENCE AND INFORMATION TECHNOLOGY","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; Cluster (spacecraft); Statistical analysis; Variance components; Statistical hypothesis testing","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":[0.002942148,0.001289974,0.001193103,0.00234286,0.001834703,0.003993983,0.001294139,0.001040308,0.01657064],"category_scores_gemma":[0.007518618,0.0007721882,0.001500037,0.004075128,0.0007381943,0.002950941,0.002115197,0.001710638,0.008969261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509513,"about_ca_system_score_gemma":0.003343611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160467,"about_ca_topic_score_gemma":0.01797266,"domain_scores_codex":[0.9975798,0.000474835,0.0002021244,0.0007043683,0.0008567409,0.0001821582],"domain_scores_gemma":[0.995619,0.001361543,0.0003022054,0.0006970164,0.001764462,0.0002557025],"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":[0.001061765,0.0002869335,0.03929388,0.001693298,0.0003833773,0.0004513232,0.003040254,0.02710815,0.02698364,0.01384369,0.06162909,0.8242247],"study_design_scores_gemma":[0.0001991448,0.0007050858,0.1037654,0.001015168,0.0005493648,0.001394303,0.007738282,0.2035749,0.07502135,0.05117551,0.5542852,0.0005763601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2241386,0.007301487,0.619885,0.008696079,0.001609831,0.00124644,0.02433547,0.01658744,0.09619961],"genre_scores_gemma":[0.4413386,0.004695577,0.4460794,0.00105511,0.0003954538,0.001395409,0.02444986,0.003361584,0.07722907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01657064,"threshold_uncertainty_score":0.05543435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331556170925138,"score_gpt":0.2680126152199789,"score_spread":0.2546970535107276,"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."}}