{"id":"W4387210621","doi":"10.59697/jik.v5i1.304","title":"IMPLEMENTASI DATA MINING PENGELOMPOKAN JENIS PENYAKIT PASIEN MENGGUNAKAN METODE CLUSTERING (STUDI KASUS : PUSKESMAS SAMBIREJO)","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003623346,0.001005825,0.001084571,0.002549972,0.001350762,0.005038233,0.001426623,0.001182407,0.008449565],"category_scores_gemma":[0.009050828,0.0007001964,0.001493964,0.004188952,0.0006800318,0.003686301,0.001787686,0.001894407,0.006854267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813946,"about_ca_system_score_gemma":0.003191995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00960986,"about_ca_topic_score_gemma":0.01121715,"domain_scores_codex":[0.9970992,0.0006510353,0.0002548543,0.0007348232,0.001079891,0.000180299],"domain_scores_gemma":[0.9941712,0.002100126,0.0003520082,0.0006778471,0.00249195,0.0002068108],"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":[0.0005003083,0.0003455121,0.02533689,0.001498544,0.0003280109,0.0003215095,0.002126985,0.02340945,0.01873266,0.02008564,0.02670162,0.880613],"study_design_scores_gemma":[0.0001656978,0.0008063557,0.06647557,0.001309596,0.0007150043,0.002058976,0.007788147,0.3649156,0.1161279,0.06334267,0.375791,0.0005035378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.115924,0.006501488,0.8037866,0.005607555,0.0006004109,0.00101446,0.005948645,0.00883997,0.0517769],"genre_scores_gemma":[0.3366384,0.005281335,0.6102587,0.0007959113,0.0002278669,0.0007767885,0.006784458,0.0009995077,0.03823711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00960986,"threshold_uncertainty_score":0.02826655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06700875177334037,"score_gpt":0.3317793721214635,"score_spread":0.2647706203481232,"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."}}