{"id":"W4285479393","doi":"10.35315/informatika.v13i1.8369","title":"PENERAPAN K-MEANS CLUSTERING PADA PENDAFTARAN ANGGOTA PERPUSTAKAAN DI DINAS KEARSIPAN DAN PERPUSTAKAAN PROVINSI JAWA TENGAH","year":2021,"lang":"id","type":"article","venue":"Jurnal Dinamika Informatika","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Cluster (spacecraft); Humanities; Computer science; Art; Operating system","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001266699,0.001143657,0.001100904,0.0005693756,0.002304134,0.003513115,0.003011208,0.0004270342,0.0001582598],"category_scores_gemma":[0.0005589218,0.001162848,0.0005904998,0.001878219,0.0003711255,0.004246803,0.002563862,0.002474074,0.0007064654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972123,"about_ca_system_score_gemma":0.0013935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008080376,"about_ca_topic_score_gemma":0.0008070174,"domain_scores_codex":[0.9927824,0.0004803062,0.001907064,0.001396707,0.001462442,0.001971108],"domain_scores_gemma":[0.9938536,0.0002608364,0.001080203,0.002916218,0.0008321683,0.001057008],"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":[0.0002256249,0.00372718,0.06363515,0.003639192,0.001505906,0.001583892,0.1188013,0.01313967,0.008594471,0.03269945,0.03923473,0.7132134],"study_design_scores_gemma":[0.002443161,0.0005171522,0.1129291,0.0008252009,0.0002458618,0.001894713,0.008088185,0.5224075,0.0006617093,0.00004050984,0.3478444,0.002102498],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314411,0.002300455,0.3645235,0.01190772,0.005277191,0.002419282,0.0007893362,0.002016134,0.07932524],"genre_scores_gemma":[0.9545172,0.0005099238,0.02056294,0.001483092,0.0006179849,0.0001261605,0.0009973713,0.0001644467,0.02102087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7111109,"threshold_uncertainty_score":0.9998273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666440509466701,"score_gpt":0.2542756422225722,"score_spread":0.2376112371279052,"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."}}