{"id":"W4315628769","doi":"10.33558/bentang.v11i1.5605","title":"Analisis Debit Banjir Rencana Daerah Tangkapan Air Waduk Tugu Menggunakan HEC-HMS","year":2023,"lang":"en","type":"article","venue":"Bentang Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Hydrology (agriculture); Flood myth; Impervious surface; Drainage basin; Spillway; Environmental science; HEC-HMS; Geography; Geology; Cartography; Archaeology; Geotechnical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001420366,0.0007903289,0.0009193741,0.001228786,0.0007546209,0.0008307879,0.002975802,0.0003261551,0.0001118653],"category_scores_gemma":[0.0003288964,0.000809921,0.000508255,0.003426424,0.0002114671,0.00158022,0.0007607923,0.0009373729,0.0007636506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005408406,"about_ca_system_score_gemma":0.0002283885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177358,"about_ca_topic_score_gemma":0.0004626906,"domain_scores_codex":[0.9928911,0.0006736111,0.001271189,0.001654541,0.001809012,0.001700545],"domain_scores_gemma":[0.9958197,0.0004792608,0.0005549609,0.002014681,0.0002809184,0.0008504394],"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":[0.0001093383,0.000599915,0.262193,0.0005591181,0.0009397073,0.005012864,0.01592104,0.0004223444,0.0584591,0.01290845,0.1938537,0.4490215],"study_design_scores_gemma":[0.0078311,0.001500408,0.6573673,0.002651268,0.0002351406,0.002452399,0.004728668,0.05885649,0.0165448,0.001536892,0.2403133,0.005982209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964614,0.001389727,0.009653107,0.005525932,0.006190036,0.001285765,0.0002102653,0.004393328,0.006737803],"genre_scores_gemma":[0.9907376,0.0001735823,0.004154869,0.0008855479,0.001360369,0.0001186623,0.0001766911,0.0001483592,0.002244359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4430392,"threshold_uncertainty_score":0.9994352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560745717911874,"score_gpt":0.2516234874450121,"score_spread":0.2360160302658934,"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."}}