{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524061,0.001414557,0.001756821,0.003522928,0.0009914596,0.002665807,0.001646599,0.001237165,0.003282468],"category_scores_gemma":[0.003903835,0.0006080102,0.002032482,0.003574817,0.0003747997,0.002302483,0.001412765,0.001407942,0.002123151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009234304,"about_ca_system_score_gemma":0.002082322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009818052,"about_ca_topic_score_gemma":0.009875295,"domain_scores_codex":[0.9981406,0.0003172628,0.0002418927,0.0006433367,0.000514823,0.0001421154],"domain_scores_gemma":[0.9982882,0.0006571817,0.0001115163,0.0001835469,0.0006876551,0.00007193685],"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":[0.000626511,0.0005237621,0.02003022,0.002038927,0.0006729364,0.0005627876,0.0007137166,0.06226191,0.01514466,0.006153499,0.02507924,0.8661917],"study_design_scores_gemma":[0.0001074746,0.000376738,0.01893999,0.0004603607,0.0003378518,0.001040427,0.001362844,0.869218,0.02571889,0.01907293,0.06321405,0.0001505094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.109036,0.008764122,0.8437849,0.00244581,0.000552395,0.001251315,0.01371166,0.007018843,0.01343499],"genre_scores_gemma":[0.3515181,0.005728328,0.5969081,0.0006045193,0.0002315851,0.001291624,0.02588546,0.000637227,0.01719503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009818052,"threshold_uncertainty_score":0.01952177,"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."}}