{"id":"W3111488477","doi":"10.26418/bbimst.v8i4.36633","title":"ANALISIS CLUSTER NON-HIRARKI DENGAN METODE K-MODES","year":2019,"lang":"id","type":"article","venue":"Bimaster Buletin Ilmiah Matematika Statistika dan Terapannya","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Physics; Cluster (spacecraft); Humanities; Philosophy; Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002020532,0.00141512,0.001663013,0.0008306234,0.0007135505,0.002911964,0.003703414,0.0004393204,0.0009882284],"category_scores_gemma":[0.000244346,0.001373767,0.0004154223,0.001414886,0.0003414618,0.001428983,0.001703894,0.001284604,0.01031177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186001,"about_ca_system_score_gemma":0.0003206238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005318366,"about_ca_topic_score_gemma":0.00003959362,"domain_scores_codex":[0.9907575,0.001166731,0.002122091,0.002656521,0.001480217,0.001816923],"domain_scores_gemma":[0.9921868,0.001106473,0.001420102,0.004100609,0.0004842012,0.0007018309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005182829,0.00274709,0.05139502,0.01271144,0.002679536,0.0004265642,0.04052887,0.002585329,0.01496587,0.06409877,0.699238,0.1081052],"study_design_scores_gemma":[0.009603942,0.002258659,0.07811993,0.006060331,0.001118526,0.000758308,0.005057575,0.4252958,0.00589272,0.001945609,0.4559573,0.007931272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3125429,0.001226049,0.6341942,0.007984225,0.00289766,0.004670552,0.002313232,0.001301075,0.03287009],"genre_scores_gemma":[0.8245298,0.0001264301,0.1392369,0.004257936,0.0003746789,0.0004215793,0.001152087,0.000309574,0.02959105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5119868,"threshold_uncertainty_score":0.999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008980725349318,"score_gpt":0.2592732145749008,"score_spread":0.2491834073214076,"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."}}