{"id":"W3153274639","doi":"10.31602/tji.v12i2.4573","title":"PENERAPAN ALGORITMA K-MEANS CLUSTERING ANALYSIS PADA KASUS PENDERITA HIV/AIDS (STUDI KASUS KABUPATEN BANJAR)","year":2021,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","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":[0.001060978,0.0008623331,0.001269535,0.001171819,0.00130797,0.001181827,0.003965694,0.0007271858,0.0002862517],"category_scores_gemma":[0.0005472803,0.0008950602,0.0006987186,0.007349287,0.0004250018,0.0006574523,0.002759136,0.002424625,0.0007075632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332963,"about_ca_system_score_gemma":0.000516568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004417114,"about_ca_topic_score_gemma":0.0003702302,"domain_scores_codex":[0.9936274,0.0003525085,0.001240486,0.002260027,0.001022473,0.001497075],"domain_scores_gemma":[0.9943388,0.0002869684,0.0007061834,0.003722241,0.0005577226,0.0003880729],"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":[0.0001287954,0.003224057,0.08104263,0.0004644894,0.01220176,0.004332311,0.005364614,0.01626964,0.04269297,0.0426096,0.03533508,0.7563341],"study_design_scores_gemma":[0.004527342,0.001656516,0.06034615,0.000623815,0.006547225,0.002141437,0.007661894,0.7517858,0.01988509,0.002265337,0.1371541,0.005405353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039109,0.00453493,0.8639317,0.01247868,0.001354337,0.0005647905,0.0003567786,0.003369407,0.009498486],"genre_scores_gemma":[0.8636454,0.0006572946,0.122704,0.0002935406,0.0002760064,0.0001043037,0.0003504489,0.00008807924,0.01188085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7597346,"threshold_uncertainty_score":0.9999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114901149478854,"score_gpt":0.2690219916404388,"score_spread":0.2478729801456503,"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."}}