{"id":"W4313184267","doi":"10.55719/mv.v4i2.466","title":"PENGELOMPOKAN KEBUTUHAN JUMLAH AIR AKIBAT KEKERINGAN DI KABUPATEN TUBAN PADA TAHUN 2020 DENGAN ALGORITMA K-MEANS","year":2022,"lang":"id","type":"article","venue":"Mathvision Jurnal Matematika","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; Art","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002757599,0.001016019,0.001166974,0.0005302192,0.00366383,0.001281017,0.004750969,0.0002264775,0.001203517],"category_scores_gemma":[0.000249293,0.001040528,0.0004764835,0.001919543,0.0001820494,0.0009758289,0.004507511,0.002547891,0.002013693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627462,"about_ca_system_score_gemma":0.0004336259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004241834,"about_ca_topic_score_gemma":0.00002201148,"domain_scores_codex":[0.9911761,0.001344953,0.001849789,0.001935893,0.002232234,0.001461074],"domain_scores_gemma":[0.9942654,0.0005010332,0.001294182,0.002825389,0.0002806155,0.0008333768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004977829,0.007982976,0.01298478,0.00604709,0.001629962,0.003781931,0.07913312,0.02736322,0.01997445,0.07158185,0.3150344,0.4539885],"study_design_scores_gemma":[0.003409249,0.002127823,0.07404508,0.001524777,0.0004555632,0.003019101,0.004665861,0.4552369,0.001540589,0.002533089,0.4476017,0.00384032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7293015,0.003713298,0.1928351,0.02772277,0.01219878,0.004981595,0.002175458,0.004479451,0.02259205],"genre_scores_gemma":[0.9745667,0.0001904006,0.01496859,0.0007616765,0.0005581952,0.0004101549,0.0004628728,0.0002166121,0.007864819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4501482,"threshold_uncertainty_score":0.9997557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123403522163447,"score_gpt":0.2538633530516606,"score_spread":0.2415230008353159,"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."}}