{"id":"W3107025504","doi":"10.1142/s2345737620500086","title":"Contribution of Deforestation to Severe Flooding in Southeast Parts of the Caspian Sea: A Case Study with NDVI Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Extreme Events","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Flooding (psychology); Normalized Difference Vegetation Index; Precipitation; Deforestation (computer science); Vegetation (pathology); Geography; Physical geography; Storm; Climatology; Climate change; Environmental science; Meteorology; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000374823,0.0003415195,0.0002392898,0.001369315,0.0005818723,0.000628215,0.0003245574,0.0004668009,0.000615539],"category_scores_gemma":[0.0008208847,0.0001575916,0.0003631292,0.001253181,0.0003616812,0.0002609225,0.0003182009,0.0002462709,0.00004240132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336061,"about_ca_system_score_gemma":0.0004883556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08327811,"about_ca_topic_score_gemma":0.07647641,"domain_scores_codex":[0.9998406,0.00003588413,0.00001333226,0.00002115991,0.00004349469,0.00004540871],"domain_scores_gemma":[0.9996406,0.0001415722,0.00008793724,0.00001749704,0.00005898581,0.00005343397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002285898,0.0004523713,0.9213686,0.00008303453,0.0001554805,0.03908722,0.001405905,0.01402402,0.002400902,0.0004956793,0.001362024,0.01893605],"study_design_scores_gemma":[0.00002229393,0.000121858,0.9464406,0.00002559949,0.0001185819,0.003912123,0.005090492,0.04209397,0.0007519121,0.0002971039,0.001101657,0.0000238419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991338,0.00006958559,0.0001000944,0.00007728382,0.000002119464,0.000009498402,0.0001156039,0.000006141636,0.000485919],"genre_scores_gemma":[0.9992631,0.0001140257,0.0003062235,0.000008334917,0.000005244013,0.000003533203,0.0001438014,0.000001338201,0.0001543753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08327811,"threshold_uncertainty_score":0.1655868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001524798772585,"score_gpt":0.2889270975242218,"score_spread":0.2489118495364959,"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."}}