{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004401747,0.001363475,0.001393895,0.00421788,0.001967805,0.004236861,0.001849698,0.001610152,0.005788879],"category_scores_gemma":[0.006862761,0.0006727682,0.002533177,0.005569507,0.0007517285,0.00246417,0.001297786,0.001699138,0.004526802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268086,"about_ca_system_score_gemma":0.003977452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02844375,"about_ca_topic_score_gemma":0.03546337,"domain_scores_codex":[0.9964646,0.001004212,0.000393996,0.0009002529,0.0009877537,0.0002491191],"domain_scores_gemma":[0.9963164,0.00110031,0.000355781,0.0004240019,0.001673185,0.0001301786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005568943,0.000412775,0.04131784,0.001865358,0.001025985,0.0002699113,0.002467465,0.0292782,0.01292127,0.01049221,0.02508427,0.8743079],"study_design_scores_gemma":[0.0001948773,0.00108446,0.1495088,0.001303034,0.001629609,0.001523569,0.01269739,0.4353951,0.0675086,0.04796246,0.2804482,0.0007439615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1073266,0.009557588,0.8362495,0.006163159,0.001277193,0.001689068,0.007632567,0.00622192,0.02388252],"genre_scores_gemma":[0.2631766,0.004620621,0.6941808,0.0008216181,0.0002497147,0.001105581,0.006196879,0.0005057401,0.02914232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02844375,"threshold_uncertainty_score":0.0565564,"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."}}