{"id":"W4384573789","doi":"10.59697/jsik.v6i2.168","title":"DATA MINING PENGELOMPOKAN PENGGUNA NARKOBA BERDASARKAN USIA MENGGUNAKAN METODE CLUSTERING (STUDI KASUS : BNN KOTA 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; Cluster analysis; Computer science; Artificial intelligence; 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":[0.00323362,0.0008910235,0.001255131,0.003711496,0.002042831,0.005830686,0.00131722,0.001195103,0.005526219],"category_scores_gemma":[0.007443143,0.000658727,0.001312291,0.007144629,0.001009381,0.004383335,0.001988003,0.001733767,0.003250339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687113,"about_ca_system_score_gemma":0.004046801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163139,"about_ca_topic_score_gemma":0.01677522,"domain_scores_codex":[0.9964483,0.000886668,0.0002948163,0.0008393815,0.001338078,0.0001927308],"domain_scores_gemma":[0.9941154,0.002738865,0.0004879361,0.000526464,0.001903272,0.0002281188],"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":[0.000574483,0.0004187612,0.04975477,0.002957017,0.0004376768,0.0005400243,0.004990092,0.01724033,0.01647549,0.0351717,0.01740022,0.8540395],"study_design_scores_gemma":[0.0001598486,0.0007910787,0.1457303,0.002557194,0.001091968,0.002997431,0.02471154,0.1988595,0.07059129,0.1436163,0.40833,0.0005635213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3085913,0.024267,0.5310671,0.01304345,0.00072185,0.001360568,0.00611044,0.003318739,0.1115196],"genre_scores_gemma":[0.6397758,0.0153436,0.2886693,0.001003418,0.0002847932,0.0007325211,0.005692853,0.0004338124,0.04806381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01163139,"threshold_uncertainty_score":0.02312738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239758656391054,"score_gpt":0.2994020032046151,"score_spread":0.2470044166407046,"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."}}