{"id":"W4391938375","doi":"10.59697/jtik.v6i2.299","title":"DATA MINING PENGELOMPOKAN INDUSTRI KECIL DAN MENENGAH BERDASARKAN HASIL PRODUKSI MENGGUNAKAN METODE CLUSTERING DI KABUPATEN LANGKAT","year":2022,"lang":"id","type":"article","venue":"JTIK (Jurnal Teknik Informatika Kaputama)","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; Mathematics; Statistics","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":[0.002390406,0.001682698,0.001714927,0.004082701,0.001500293,0.005195839,0.001763762,0.001745261,0.00483506],"category_scores_gemma":[0.004966541,0.0009346664,0.001921706,0.005185674,0.0007079051,0.003097354,0.001792389,0.001833063,0.004085236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106025,"about_ca_system_score_gemma":0.003191181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153033,"about_ca_topic_score_gemma":0.01680876,"domain_scores_codex":[0.9973085,0.0004390442,0.0002497189,0.0007884977,0.00101608,0.0001981275],"domain_scores_gemma":[0.9962128,0.001391221,0.0003283631,0.0004037059,0.001511188,0.0001526603],"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":[0.0006602888,0.0005180403,0.02773892,0.001673665,0.0004988715,0.0004703492,0.001330209,0.07683506,0.03392236,0.01141052,0.01701161,0.82793],"study_design_scores_gemma":[0.0001110002,0.0005784419,0.03186277,0.0006099527,0.0004369241,0.0008628283,0.003808789,0.7441462,0.07773057,0.03159816,0.1079707,0.0002836552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536139,0.00668763,0.7911026,0.003943781,0.0004940917,0.0008842121,0.00659107,0.005545099,0.03113749],"genre_scores_gemma":[0.409355,0.005146017,0.5362328,0.0006461749,0.0002450145,0.0008905264,0.008815262,0.0006362675,0.03803291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0153033,"threshold_uncertainty_score":0.03042847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06936193266199289,"score_gpt":0.2984205822249268,"score_spread":0.229058649562934,"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."}}