{"id":"W4389816555","doi":"10.30996/ep.v20i02.9682","title":"Potensi Penurunan Debit Banjir di Sungai Sepaku Akibat Pembangunan Bendungan Sepaku Semoi","year":2023,"lang":"en","type":"article","venue":"EXTRAPOLASI","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Flood myth; Flooding (psychology); Hydrology (agriculture); Environmental science; Drainage; Flood control; Water level; Water resource management; Geography; Geology; Geotechnical engineering; Cartography; 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":[0.0002111694,0.0003178141,0.0002169255,0.000366992,0.0006273833,0.000698933,0.0002166752,0.0001731574,0.007834966],"category_scores_gemma":[0.0002723594,0.0001736998,0.000196619,0.0005953259,0.0002328944,0.0004861426,0.0006100086,0.0004682569,0.001007035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289393,"about_ca_system_score_gemma":0.0008994087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304081,"about_ca_topic_score_gemma":0.01034101,"domain_scores_codex":[0.9999266,0.000009768612,0.00000539649,0.0000156972,0.0000187025,0.00002388061],"domain_scores_gemma":[0.999867,0.00002862184,0.00002117347,0.00001394245,0.00004516645,0.00002407251],"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":[0.001334182,0.0009739721,0.3021805,0.001378939,0.0001814409,0.01018772,0.008608625,0.0086932,0.1156906,0.0133875,0.01200712,0.5253763],"study_design_scores_gemma":[0.00007951086,0.0006283787,0.6701531,0.0002744675,0.0001822064,0.005566964,0.01677814,0.01246117,0.05105842,0.003591452,0.2391281,0.00009814985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575524,0.0007048784,0.003993642,0.0003686317,0.00007216233,0.00007044418,0.000816796,0.0001725056,0.03624856],"genre_scores_gemma":[0.9710729,0.0008480771,0.005514813,0.00008437952,0.00001474834,0.00006790768,0.0008112235,0.00003666546,0.02154945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007834966,"threshold_uncertainty_score":0.02621061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009616157152351536,"score_gpt":0.2231023714022678,"score_spread":0.2134862142499162,"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."}}