{"id":"W3097249123","doi":"10.17977/um071v25i22020p1-10","title":"ANALISA MODEL HIDROGRAF BANJIR KALI NGOTOK DENGAN METODE SCS, SNYDER DAN NAKAYASU","year":2020,"lang":"id","type":"article","venue":"BANGUNAN","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Geography","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":[0.002409743,0.001343217,0.001070292,0.001489952,0.0005799049,0.002913119,0.001152766,0.001057342,0.01585109],"category_scores_gemma":[0.007174527,0.0005267215,0.002451482,0.001819695,0.0003777861,0.001585951,0.0008402126,0.001375159,0.00389701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905028,"about_ca_system_score_gemma":0.004254666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08755266,"about_ca_topic_score_gemma":0.07826877,"domain_scores_codex":[0.9982876,0.0003869862,0.0001563382,0.0004167077,0.0005899782,0.0001622341],"domain_scores_gemma":[0.9966105,0.001628448,0.0003300662,0.0001781771,0.001141017,0.0001117891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00298515,0.001022762,0.5971528,0.00458139,0.002139768,0.0009095723,0.002549324,0.07750093,0.01097208,0.006535806,0.03752709,0.2561234],"study_design_scores_gemma":[0.0003038785,0.001745349,0.5018582,0.002216773,0.003122286,0.0009180879,0.009716962,0.2910758,0.01681941,0.01196254,0.1598043,0.0004563889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878873,0.01005584,0.08177629,0.004519866,0.0009787593,0.001165977,0.05137505,0.0036662,0.05857468],"genre_scores_gemma":[0.9132182,0.003423719,0.03170961,0.0004912383,0.0001075682,0.000667773,0.02084723,0.0004444407,0.02909025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08755266,"threshold_uncertainty_score":0.1740861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349985998414199,"score_gpt":0.2810521080722835,"score_spread":0.2375522480881415,"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."}}