{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.005487555,0.001421303,0.001515943,0.0009532048,0.005826111,0.002565233,0.01175706,0.0003200972,0.0003620712],"category_scores_gemma":[0.0005159354,0.001559708,0.0005166162,0.002860136,0.0003230941,0.003826723,0.02112364,0.003281382,0.0003632487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009667312,"about_ca_system_score_gemma":0.001321537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003149038,"about_ca_topic_score_gemma":0.0002616433,"domain_scores_codex":[0.9882554,0.0009340722,0.002922783,0.002538375,0.002911162,0.00243815],"domain_scores_gemma":[0.9893853,0.0008441221,0.002241664,0.006071248,0.0003707346,0.00108693],"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":[0.0008122398,0.002526167,0.01298125,0.002077492,0.003320379,0.001111193,0.05496452,0.03085276,0.0009969147,0.009135442,0.1348892,0.7463325],"study_design_scores_gemma":[0.001799876,0.0006725253,0.005883866,0.0002227952,0.0003152797,0.001272018,0.004064923,0.2398445,0.00003025388,0.00002377643,0.7443748,0.001495411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3592314,0.014693,0.1056904,0.03989978,0.026445,0.009595847,0.007658586,0.006725491,0.4300605],"genre_scores_gemma":[0.9382599,0.0003543715,0.03227778,0.002310162,0.001733419,0.0004999555,0.003627587,0.0003120112,0.02062483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.744837,"threshold_uncertainty_score":0.9998537,"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."}}