{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128095,0.0006742371,0.0005446016,0.001672986,0.001707873,0.003485246,0.0007002241,0.0006331828,0.04236068],"category_scores_gemma":[0.002084257,0.000431002,0.0004239304,0.002641941,0.0006187907,0.002245195,0.002016613,0.001089948,0.02236441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230123,"about_ca_system_score_gemma":0.002252634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053568,"about_ca_topic_score_gemma":0.02000037,"domain_scores_codex":[0.9991867,0.0001358662,0.00005881179,0.000203925,0.0003071062,0.0001076245],"domain_scores_gemma":[0.9990516,0.000187434,0.00007193578,0.0001036579,0.0004242097,0.0001611426],"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":[0.0008793905,0.0002466189,0.01222585,0.001504188,0.00006021576,0.0007513391,0.004491558,0.003304896,0.01431635,0.02210505,0.1676186,0.772496],"study_design_scores_gemma":[0.00002878112,0.0001162701,0.01739814,0.0003102412,0.00003108318,0.0005856599,0.002942537,0.003051153,0.00858188,0.005800013,0.9610751,0.0000791116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2630757,0.01248717,0.1252175,0.01016047,0.003065303,0.0006129363,0.0310077,0.0130955,0.5412778],"genre_scores_gemma":[0.4784183,0.008036118,0.1719937,0.0008017321,0.0004109964,0.0006718729,0.0289341,0.004481561,0.3062517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04236068,"threshold_uncertainty_score":0.1417106,"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."}}