{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005582076,0.0005878157,0.0005844355,0.0001846439,0.0006893413,0.0008241697,0.002749506,0.0002388002,0.00008348319],"category_scores_gemma":[0.0003501503,0.0006103304,0.0002977808,0.001409148,0.0002168431,0.0006653834,0.001050332,0.0009250988,0.001067322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008391624,"about_ca_system_score_gemma":0.0003885193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005590384,"about_ca_topic_score_gemma":0.00008109582,"domain_scores_codex":[0.9957375,0.0003120543,0.0006738444,0.001580191,0.0007556034,0.0009408232],"domain_scores_gemma":[0.9966209,0.0001535351,0.0003433344,0.001833835,0.0001844257,0.0008639563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009578162,0.001507028,0.008602512,0.0005316022,0.0008530799,0.0002735271,0.04998465,0.02446613,0.01336844,0.1223633,0.5600052,0.2179487],"study_design_scores_gemma":[0.0006726062,0.0002061206,0.001917352,0.00007678258,0.0001634447,0.00002745615,0.0002555249,0.7335192,0.00118089,0.0003805801,0.2607703,0.0008297475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1148797,0.003211057,0.7901186,0.06337129,0.001056573,0.00170588,0.0006123311,0.002799157,0.02224533],"genre_scores_gemma":[0.9349807,0.00008558303,0.05041692,0.008354282,0.0005877868,0.0001121974,0.0003820047,0.0001138313,0.004966711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.820101,"threshold_uncertainty_score":0.9997104,"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."}}