{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.007806003,0.0005352165,0.0008856342,0.006076945,0.001623225,0.003736169,0.007821985,0.0003839212,0.000005304641],"category_scores_gemma":[0.0005098815,0.0004923881,0.0001003207,0.006876796,0.0006841347,0.04766516,0.00496813,0.001084302,0.0001355172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415631,"about_ca_system_score_gemma":0.002041534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009214789,"about_ca_topic_score_gemma":0.00001012498,"domain_scores_codex":[0.9931421,0.0001683677,0.00370923,0.0005143149,0.001610931,0.0008550512],"domain_scores_gemma":[0.9895423,0.000168503,0.003927932,0.002490493,0.003519339,0.0003514503],"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":[0.00002874537,0.00003325003,0.0005415034,0.0008644572,0.0001349652,0.00000406846,0.005167791,0.00215835,0.00002748718,0.06903508,0.004955948,0.9170483],"study_design_scores_gemma":[0.0012647,0.0003559726,0.001800367,0.001126442,0.00008763475,0.0008457489,0.004784566,0.793748,0.0002399014,0.0001693282,0.1951138,0.0004635771],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004516739,0.000263397,0.9792269,0.008215357,0.003161885,0.0006371079,0.00008302947,0.0003129335,0.003582607],"genre_scores_gemma":[0.8594892,0.0002093839,0.1376432,0.00226917,0.0002079849,0.00002252045,0.0001240545,0.00001106177,0.00002337521],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9165848,"threshold_uncertainty_score":0.9997528,"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."}}