{"id":"W2992213878","doi":"10.30865/komik.v3i1.1677","title":"ANALISIS METODE K-MEANS PADA PENGELOMPOKAN PERGURUAN TINGGI MENURUT PROVINSI BERDASARKAN FASILITAS YANG DIMILIKI DESA","year":2019,"lang":"en","type":"article","venue":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Workforce; Cluster (spacecraft); Government (linguistics); Agency (philosophy); Indonesian; Higher education; Quality (philosophy); Geography; Political science; Library science; Business; Sociology; Computer science; Social science; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0009791913,0.0008165993,0.0008696677,0.0006316655,0.0006598417,0.0006834919,0.003303793,0.0004028396,0.00003709858],"category_scores_gemma":[0.0003400732,0.0007174274,0.0003833699,0.001052287,0.0002156113,0.001922769,0.002164597,0.001172605,0.0005819403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388603,"about_ca_system_score_gemma":0.000537631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001543233,"about_ca_topic_score_gemma":0.00007158123,"domain_scores_codex":[0.9948419,0.0002706652,0.00112424,0.001469019,0.001021695,0.001272455],"domain_scores_gemma":[0.9954001,0.0006449327,0.0005724526,0.002459636,0.0004417951,0.0004810788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001816576,0.0009875507,0.04793943,0.0003585816,0.0007625367,0.0001763417,0.007488765,0.005084455,0.006342753,0.4571607,0.0356006,0.4379167],"study_design_scores_gemma":[0.003845213,0.001677669,0.1525774,0.0004196728,0.0001545515,0.0009055256,0.001821888,0.3450032,0.004288444,0.002065283,0.4839385,0.003302662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625479,0.000293819,0.1026086,0.005731015,0.001812246,0.001675169,0.0001211663,0.002828647,0.02238142],"genre_scores_gemma":[0.8936601,0.0000632554,0.1028608,0.001417195,0.0002359121,0.000103535,0.0006390892,0.00006361874,0.0009564926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4550954,"threshold_uncertainty_score":0.9995277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302203122856045,"score_gpt":0.2415866640379005,"score_spread":0.2285646328093401,"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."}}