{"id":"W3126367634","doi":"","title":"PENGELOMPOKAN PERLOMBAAN KSN (KOMPETISI SAINS NASIONAL) JENJANG SMP BERDASARKAN CABANG LOMBA MENGGUNAKAN METODE CLUSTERING (STUDI KASUS : DINAS PENDIDIKAN KAB.LANGKAT)","year":2021,"lang":"id","type":"article","venue":"","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":"Competition (biology); Cluster analysis; Computer science; Artificial intelligence; Ecology","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001700279,0.001304309,0.001353609,0.0005380558,0.002252972,0.001828176,0.003257417,0.000436014,0.001198071],"category_scores_gemma":[0.0006235815,0.001364225,0.0006313212,0.002052285,0.0003217226,0.001142718,0.004465886,0.001807978,0.001984439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771078,"about_ca_system_score_gemma":0.001001418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981995,"about_ca_topic_score_gemma":0.004436971,"domain_scores_codex":[0.990545,0.0009498284,0.001519944,0.003242344,0.00163648,0.002106345],"domain_scores_gemma":[0.9930022,0.0009331224,0.0006387391,0.00368828,0.0006445419,0.001093106],"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":[0.0002487249,0.006540154,0.01847289,0.002017444,0.004070277,0.00559349,0.06424587,0.004427755,0.05351556,0.1870043,0.1634399,0.4904236],"study_design_scores_gemma":[0.004391774,0.0008789664,0.05914164,0.001200509,0.0008275772,0.002181418,0.008822893,0.1008216,0.006618694,0.0007670705,0.8094441,0.00490373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2648871,0.0163062,0.2890035,0.06227842,0.009425031,0.003758432,0.001011465,0.005127067,0.3482028],"genre_scores_gemma":[0.858869,0.0005649904,0.05597938,0.001575513,0.001192285,0.0001956821,0.001015672,0.000226664,0.08038081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6460042,"threshold_uncertainty_score":0.9999709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202477527508477,"score_gpt":0.277663136003,"score_spread":0.2556383607279152,"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."}}