{"id":"W2057521530","doi":"10.1007/s11069-008-9335-2","title":"Analysis of non climatic origins of floods in the downstream part of the Kura River, Azerbaijan","year":2008,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Michigan State University; U.S. Department of State","keywords":"Hydrology (agriculture); Flood myth; Flooding (psychology); Levee; Channel (broadcasting); Environmental science; Groundwater; Floodplain; Drainage basin; Natural hazard; Sediment; Surface water; Geology; Geography; Environmental engineering; Geomorphology; Geotechnical engineering","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":[0.0003996652,0.0001038233,0.0003631565,0.0001005592,0.00007326602,0.000001624877,0.0005033696,0.00009000648,0.0004240728],"category_scores_gemma":[0.00005473829,0.00005411299,0.0003343548,0.00211065,0.0007124543,0.00008515074,0.00009387756,0.0002012161,0.00001181553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006468667,"about_ca_system_score_gemma":0.000017544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928465,"about_ca_topic_score_gemma":0.001828689,"domain_scores_codex":[0.9986999,0.0001545705,0.0003740942,0.0001626339,0.0004411689,0.0001676122],"domain_scores_gemma":[0.9991801,0.0001097812,0.0002196506,0.0004552555,0.00001472844,0.00002046182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002958997,0.000198895,0.9829789,0.00001128897,0.0003484792,0.000004915943,0.002968924,0.007666172,0.002608771,0.00009753153,0.0003364267,0.002750049],"study_design_scores_gemma":[0.0002588637,0.00004944448,0.9671361,0.00001034765,0.0007135216,0.000003773124,0.0001217476,0.02674915,0.004370976,0.00009387426,0.000410068,0.00008217372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963629,0.00009361611,0.00001005716,0.0001673885,0.00006318025,0.00009423422,0.00001589845,0.000003156052,0.003189522],"genre_scores_gemma":[0.9995763,0.00005391944,0.0001266624,0.00009949546,0.00001042263,0.000003501,0.000007597735,0.000002855855,0.00011924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908297,"threshold_uncertainty_score":0.46433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007610908743153773,"score_gpt":0.2389763757383812,"score_spread":0.2313654669952274,"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."}}