{"id":"W2075543150","doi":"10.2166/nh.2008.025","title":"Flood regimes in the Southern Caucasus: the influence of precipitation on mean annual floods and frequency curves","year":2008,"lang":"en","type":"article","venue":"Hydrology research","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Groupe de recherche interuniversitaire en limnologie","keywords":"Precipitation; Flood myth; Environmental science; Drainage basin; Climatology; Dimensionless quantity; Hydrology (agriculture); Atmospheric sciences; Geology; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003386396,0.0001014653,0.0001920472,0.0005670537,0.0002266121,0.0005731316,0.0001209866,0.0001552347,0.0005554516],"category_scores_gemma":[0.002661425,0.0001300629,0.0001210177,0.000527627,0.0003224011,0.0002156899,0.0003143016,0.0001734823,0.00007961711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401138,"about_ca_system_score_gemma":0.0002886846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04141513,"about_ca_topic_score_gemma":0.03451973,"domain_scores_codex":[0.9998428,0.00006234488,0.00001285191,0.00002619383,0.00003199458,0.00002380571],"domain_scores_gemma":[0.9988596,0.0004651691,0.0002614698,0.00008504596,0.0001424904,0.0001861121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002840868,0.00002994572,0.9537994,0.00003831344,0.00009287716,0.0004394036,0.0008641197,0.01946317,0.009258277,0.0006647973,0.0005355087,0.01453005],"study_design_scores_gemma":[0.000005547695,0.00001305364,0.9932054,0.000006158274,0.000007225766,0.0001071536,0.0002358355,0.005692448,0.0001461115,0.0003026987,0.0002720317,0.000006295686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992241,0.00006402019,0.00007488374,0.00003430557,9.640788e-7,8.80663e-7,0.00007677523,0.00000961934,0.0005145148],"genre_scores_gemma":[0.9998372,0.00002774419,0.00003217928,0.00000286617,0.00000102334,7.915903e-7,0.00005270414,0.00000270598,0.00004279078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04141513,"threshold_uncertainty_score":0.08234811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05220701020960779,"score_gpt":0.3219140324473394,"score_spread":0.2697070222377316,"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."}}