{"id":"W3119678585","doi":"10.1109/jstars.2021.3051873","title":"Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; University of Ottawa; National Science Foundation","keywords":"Computer science; Remote sensing; Flood myth; Integrated optics; Environmental science; Geology; Geography; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006780106,0.0001509134,0.0002597237,0.0001231275,0.0002657991,0.0001381426,0.0001062999,0.00009174138,0.000006715938],"category_scores_gemma":[0.00009250695,0.0001420887,0.00002223047,0.0006978016,0.00006028889,0.0004446887,0.0001749959,0.0004749867,1.787524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009936268,"about_ca_system_score_gemma":0.00006179738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037791,"about_ca_topic_score_gemma":0.0003130725,"domain_scores_codex":[0.9985283,0.000149397,0.0004673718,0.000319134,0.0002932642,0.0002425067],"domain_scores_gemma":[0.9993516,0.00006371795,0.0002204695,0.0001875789,0.00008784112,0.00008877814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002845284,0.00007447567,0.004026254,0.00003919224,0.00008090914,0.0002276289,0.000696379,0.07521701,0.323963,0.0002810174,0.000007594277,0.5953581],"study_design_scores_gemma":[0.0005432899,0.00003678834,0.0144571,0.0001463517,0.00008801353,0.0003847818,0.001431338,0.977389,0.00268211,0.0005360381,0.00211137,0.0001938178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5892898,0.00008449093,0.4102013,0.0001367786,0.00008405151,0.00007109015,2.769611e-7,0.000009260363,0.0001230379],"genre_scores_gemma":[0.2520628,0.0002849755,0.7474197,0.00007943687,0.0001028833,2.207171e-8,0.000008841654,0.000014113,0.00002727497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.902172,"threshold_uncertainty_score":0.5794211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06869207397875533,"score_gpt":0.2990244205520803,"score_spread":0.230332346573325,"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."}}