{"id":"W4384573875","doi":"10.59697/jsik.v6i2.189","title":"Data Mining Pengelompokan Pasien Rawat Inap Berdasarkan Kelas Bpjs Menggunakan Metode Clustering (Studi Kasus : Rumah Sakit Umum Daerah Dr. Rm. Djoelham Binjai)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Medicine","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","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.005790282,0.001626427,0.001751249,0.001117998,0.006134523,0.002933677,0.01161595,0.0004075812,0.0003547982],"category_scores_gemma":[0.0005747704,0.00174809,0.0005862364,0.003078704,0.0004008249,0.004354203,0.02139763,0.003757037,0.0004389329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224433,"about_ca_system_score_gemma":0.001358147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004093306,"about_ca_topic_score_gemma":0.0003458018,"domain_scores_codex":[0.9868663,0.001051849,0.003328479,0.002777606,0.003111784,0.002863987],"domain_scores_gemma":[0.9885756,0.0009774812,0.00252776,0.006265518,0.0004102899,0.001243307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008884831,0.002531289,0.01475927,0.001679597,0.003320722,0.0009851279,0.05580978,0.03026377,0.001122533,0.008233322,0.1725746,0.7078314],"study_design_scores_gemma":[0.002394529,0.0009356281,0.007109235,0.0003119334,0.0003525185,0.001172807,0.004314919,0.189846,0.00006745826,0.00003077078,0.7917127,0.001751468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3163155,0.01075261,0.1420504,0.05899733,0.02927255,0.01085717,0.006937639,0.007362421,0.4174544],"genre_scores_gemma":[0.9393409,0.0003629813,0.02068241,0.002833318,0.001960329,0.0006524407,0.004417084,0.000361375,0.02938914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.70608,"threshold_uncertainty_score":0.9996483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099651351982436,"score_gpt":0.3015151187729321,"score_spread":0.2505186052531077,"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."}}