{"id":"W102711701","doi":"10.2166/nh.2003.0010","title":"The Choice of Stage-Discharge Relationship for the Ganges and Brahmaputra Rivers in Bangladesh","year":2003,"lang":"en","type":"article","venue":"Hydrology research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Rating curve; Logarithm; Hydrology (agriculture); Estimator; Stage (stratigraphy); Flood warning; Environmental science; Mathematics; Flood myth; Flood control; Goodness of fit; Polynomial; Statistics; Geology; Geography; Geomorphology; Geotechnical engineering; Mathematical analysis; Sediment","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":[],"consensus_categories":[],"category_scores_codex":[0.002468725,0.00005116932,0.00006401572,0.00004469265,0.0003806606,0.00001812267,0.0002271151,0.00004410249,0.0001506038],"category_scores_gemma":[0.0003134426,0.00003001118,0.00001863664,0.0002256673,0.0006305814,0.00006829402,0.0001285015,0.0002082164,0.00002220032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441598,"about_ca_system_score_gemma":0.00001049378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000406594,"about_ca_topic_score_gemma":0.003161635,"domain_scores_codex":[0.9988974,0.000304486,0.0001085476,0.0001671185,0.0002140155,0.0003084559],"domain_scores_gemma":[0.9975471,0.0021791,0.00002808045,0.0002080692,0.00000818555,0.00002943661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003417368,0.00004923004,0.9561617,0.00001221398,0.00001611724,0.00000122168,0.0004406619,0.0006698177,0.0003959281,0.03500622,0.005811677,0.001401004],"study_design_scores_gemma":[0.0006832164,0.0001646309,0.797613,0.000003531674,0.000008824153,5.746278e-7,0.0005658263,0.004187583,0.0002824361,0.008192543,0.1882313,0.00006654811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802436,0.0006256785,0.0001573187,0.006001511,0.00006077443,0.0008676585,0.000003621499,0.000006811182,0.01203298],"genre_scores_gemma":[0.9949963,0.0002748333,0.0002349039,0.00004609425,0.000007428829,0.0001056546,0.000001297722,0.000005423252,0.00432808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1824196,"threshold_uncertainty_score":0.2927772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0727754352676129,"score_gpt":0.3646759341534715,"score_spread":0.2919004988858587,"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."}}