{"id":"W2955984222","doi":"10.51544/jurnalmi.v4i1.727","title":"PENERAPAN DATA MINING PENGELOMPOKKAN PENYAKIT MENULAR SEKSUAL (PMS) MENGGUNAKAN METODE CLUSTERING","year":2019,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Gynecology; Medicine","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":["insufficient_payload"],"category_scores_codex":[0.003717526,0.0006662105,0.0008700719,0.0004581355,0.001164723,0.001205689,0.002869524,0.0004075933,0.004875561],"category_scores_gemma":[0.0005082741,0.0006736687,0.0004057474,0.0009711261,0.0002499452,0.005178017,0.001728307,0.0009093808,0.001649018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005991733,"about_ca_system_score_gemma":0.001173022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252603,"about_ca_topic_score_gemma":0.002040321,"domain_scores_codex":[0.9938127,0.0004794157,0.001422676,0.0008601026,0.001844988,0.001580114],"domain_scores_gemma":[0.9960116,0.0003398575,0.0009092017,0.001626417,0.0002119883,0.0009009703],"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":[0.001763547,0.001774363,0.1135993,0.003477192,0.004193969,0.0003189975,0.3624261,0.002345962,0.009935649,0.01572765,0.08564984,0.3987875],"study_design_scores_gemma":[0.002107658,0.000423641,0.009853189,0.0003614177,0.0002338862,0.00002947606,0.01797799,0.01821421,0.0001782076,0.00005127807,0.9494879,0.001081201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6569243,0.001089077,0.0007356959,0.00616635,0.006311483,0.002001545,0.0001639308,0.0003482483,0.3262593],"genre_scores_gemma":[0.9549834,0.0006192853,0.0007554429,0.002173922,0.001597866,0.0000121808,0.0002155545,0.00007619892,0.03956618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.863838,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07113753431188254,"score_gpt":0.3654935589987394,"score_spread":0.2943560246868569,"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."}}