{"id":"W2026683712","doi":"10.1016/s1464-2867(01)00019-5","title":"Are floods getting worse in the Ganges, Brahmaputra and Meghna basins?","year":2001,"lang":"en","type":"article","venue":"Global Environmental Change Part B Environmental Hazards","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Toronto","funders":"","keywords":"Flood myth; Water resource management; Agriculture; Geography; Settlement (finance); Environmental science; Hydrology (agriculture); Geology; Archaeology; Business","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":["insufficient_payload"],"category_scores_codex":[0.0006562417,0.0006574303,0.0004160947,0.00006192635,0.0004325728,0.0001226849,0.0006951243,0.0001916717,0.003463387],"category_scores_gemma":[0.000009364611,0.0005565478,0.0001569871,0.0003149417,0.0007676551,0.0007535396,0.001100458,0.0003670383,0.001140953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024903,"about_ca_system_score_gemma":0.000003413319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003935365,"about_ca_topic_score_gemma":0.001005732,"domain_scores_codex":[0.9958673,0.0002750073,0.0005349097,0.001087205,0.001157661,0.001077983],"domain_scores_gemma":[0.9986575,0.00004506505,0.0002981036,0.0007145969,4.889998e-7,0.0002842337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006329951,0.0008831473,0.9390048,0.00001347642,0.00003741471,0.0004017075,0.0007199373,0.0001085562,0.0003946413,0.00005678669,0.003230258,0.05508596],"study_design_scores_gemma":[0.001066595,0.0001473705,0.8254284,0.00003478908,0.00007346295,0.0001461334,0.003077165,0.0006232439,0.00006763653,0.0002387843,0.1684581,0.0006383213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848376,0.001652368,0.00005144109,0.00200807,0.0002924387,0.001291755,0.0002705308,0.00007145859,0.009524343],"genre_scores_gemma":[0.9910803,0.003049446,0.0006307864,0.003965802,0.0002941903,0.000337307,0.0001313537,0.00004979966,0.0004610417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652278,"threshold_uncertainty_score":0.9996886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046603736613934,"score_gpt":0.2368516189544506,"score_spread":0.2163855815883112,"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."}}