{"id":"W4384573781","doi":"10.59697/jsik.v6i2.191","title":"Pemamfaatan Metode Clustering Pada Nasabah Peminjaman Modal (Studi Kasus: PT. Faderal International Finance Binjai)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","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":"Humanities; Mathematics; Art","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":[0.00182121,0.0008936682,0.0008664324,0.0006146496,0.003012482,0.00162893,0.004928558,0.0002217591,0.0003022752],"category_scores_gemma":[0.000213472,0.0009724547,0.0005705915,0.001444938,0.0002315897,0.002327067,0.005580017,0.002536744,0.0002967984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058827,"about_ca_system_score_gemma":0.0007127487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002287559,"about_ca_topic_score_gemma":0.00007962059,"domain_scores_codex":[0.9927386,0.0003255016,0.00191595,0.001320277,0.002257243,0.001442433],"domain_scores_gemma":[0.9957668,0.0003195961,0.001469718,0.001658592,0.0003547201,0.0004305688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009488816,0.002650321,0.01558648,0.0009047381,0.002246197,0.0009231671,0.03953291,0.1896293,0.001693274,0.08138161,0.09339494,0.5711082],"study_design_scores_gemma":[0.00170965,0.0005349169,0.006189523,0.0001577834,0.00008796662,0.0009595719,0.00141559,0.2795746,0.0001099393,0.00009851748,0.7080994,0.001062476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3952873,0.004027414,0.2978753,0.04553939,0.0307116,0.004468995,0.002504522,0.003165039,0.2164204],"genre_scores_gemma":[0.9559147,0.0002028259,0.008243367,0.002084494,0.001129019,0.0004330455,0.0006830692,0.0001046614,0.03120478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6147045,"threshold_uncertainty_score":0.9997644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556088417083635,"score_gpt":0.2604049958346533,"score_spread":0.2448441116638169,"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."}}