{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000930246,0.00007568942,0.0002701425,0.0001837906,0.0001175381,0.0000215423,0.0002041252,0.00002222392,0.00001757044],"category_scores_gemma":[0.0001191757,0.00005095774,0.0001196309,0.001196588,0.00004248786,0.0001357908,0.00003248027,0.0001041203,7.330453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004763,"about_ca_system_score_gemma":0.00008951128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906064,"about_ca_topic_score_gemma":0.03903246,"domain_scores_codex":[0.9982034,0.0003897735,0.0004766388,0.0001014185,0.0006763006,0.0001525016],"domain_scores_gemma":[0.9991119,0.0000304166,0.0004356878,0.00009558426,0.0002192046,0.0001072259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002097054,0.0002124083,0.9139446,0.00001261416,0.0003413239,0.000223174,0.06586848,0.01877062,0.00003857122,0.00003962203,0.00001135824,0.00032754],"study_design_scores_gemma":[0.003304901,0.001056731,0.826807,0.0002129759,0.001378775,0.00005382067,0.1655765,0.0006843806,0.00009363901,0.0001047743,0.0005484677,0.0001780187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964982,0.00001241619,0.001262489,0.001682674,0.00003757501,0.0004329973,0.000009109637,0.000002772285,0.0000618061],"genre_scores_gemma":[0.9998186,0.000001100675,0.00008826107,0.00003436243,0.00003606919,0.000002452375,7.138397e-7,0.000004891372,0.00001359688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09970801,"threshold_uncertainty_score":0.9785027,"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."}}