{"id":"W2792025891","doi":"10.1080/02626667.2018.1447113","title":"Flows and sediment dynamics in the Ganga River under present and future climate scenarios","year":2018,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; International Development Research Centre; Economic and Social Research Council; Department for International Development; Government of the United Kingdom","keywords":"Monsoon; Sediment; Environmental science; Hydrology (agriculture); Precipitation; Erosion; Climate change; Flood myth; Sediment transport; Flooding (psychology); Groundwater recharge; Groundwater; Geology; Climatology; Aquifer; Geomorphology; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534728,0.0001104581,0.0001102998,0.00003349118,0.001005427,0.00008539587,0.000289507,0.00006217986,0.0003866931],"category_scores_gemma":[0.000008825256,0.00005373466,0.00002164748,0.0001838479,0.002188238,0.000205579,0.000415804,0.0002311794,0.00003867561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000518046,"about_ca_system_score_gemma":0.000002581519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003504187,"about_ca_topic_score_gemma":0.0002351153,"domain_scores_codex":[0.9986982,0.0001740255,0.0001524344,0.0002700694,0.0002980958,0.0004072018],"domain_scores_gemma":[0.9997305,0.00006082968,0.00005629276,0.00007483012,0.000003689809,0.00007386026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076347,0.0002368901,0.965567,0.000006353649,0.00003095962,0.0001590062,0.005199211,0.00464556,0.000105623,0.004827053,0.003517534,0.0155972],"study_design_scores_gemma":[0.0007310279,0.001400117,0.8237445,0.000009587964,0.00003493975,0.0003936104,0.002640978,0.1142883,0.000008622153,0.03256651,0.02390813,0.0002736214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598414,0.0001260974,0.00006754091,0.03149426,0.000144177,0.0001227859,7.456833e-7,0.000008030761,0.008195006],"genre_scores_gemma":[0.9959618,0.0006564256,0.0003926532,0.002700023,0.0002536913,0.000004487889,2.694519e-7,0.000001735961,0.00002885404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418224,"threshold_uncertainty_score":0.8062653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471958575352054,"score_gpt":0.2442540636356858,"score_spread":0.2295344778821652,"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."}}