{"id":"W7115071877","doi":"10.46576/device.v6i2.7277","title":"PENGCLUSTERAN JENIS USAHA UKM BERDASARKAN PROGRAM BANTUAN DI KOTA BINJAI MENGGUNAKAN ALGORITMA K-MEANS","year":2025,"lang":"","type":"article","venue":"DEVICE JOURNAL OF INFORMATION SYSTEM COMPUTER SCIENCE AND INFORMATION TECHNOLOGY","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 (spacecraft); Research Object; Cluster development","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"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00545474,0.000555053,0.0008743734,0.006999636,0.001806687,0.00421544,0.004291448,0.0004394904,0.000005890167],"category_scores_gemma":[0.0004471927,0.0005021188,0.0001684913,0.008718262,0.0009567359,0.03447283,0.001706888,0.001137814,0.0001591221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005463262,"about_ca_system_score_gemma":0.00197389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004133507,"about_ca_topic_score_gemma":0.000002940433,"domain_scores_codex":[0.9931616,0.0001536553,0.003726785,0.0004132282,0.001649055,0.0008956835],"domain_scores_gemma":[0.9894842,0.0001524274,0.003616413,0.001320203,0.005043576,0.0003831633],"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":[0.00001959825,0.00007436578,0.0005291681,0.000509277,0.00007803443,0.000002439399,0.00517082,0.001216291,0.00001312036,0.07539839,0.001930004,0.9150585],"study_design_scores_gemma":[0.001457152,0.0009063807,0.00320808,0.001031047,0.00007277676,0.0009306157,0.003650712,0.7779281,0.0002629488,0.0001090593,0.2099892,0.0004539309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01402949,0.0001991793,0.968914,0.008677005,0.002633181,0.001133833,0.00003940368,0.0004971518,0.003876695],"genre_scores_gemma":[0.8573681,0.00020805,0.1398851,0.002228758,0.0001536094,0.00007809683,0.00003708757,0.00001053845,0.00003073562],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9146045,"threshold_uncertainty_score":0.999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006302317644186224,"score_gpt":0.2580249890898697,"score_spread":0.2517226714456835,"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."}}