{"id":"W3180797105","doi":"10.3390/atmos12070866","title":"Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform","year":2021,"lang":"en","type":"article","venue":"Atmosphere","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University; United Nations University Institute for Water, Environment, and Health","funders":"Global Affairs Canada","keywords":"Flood myth; Remote sensing; Cloud computing; Environmental science; Shuttle Radar Topography Mission; Digital elevation model; Meteorology; Computer science; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002043007,0.0004508535,0.0002036463,0.002073063,0.0002416011,0.0004182591,0.0002831641,0.0001893141,0.001937193],"category_scores_gemma":[0.0004054145,0.000122065,0.0004211955,0.002185723,0.0001101796,0.0005852233,0.0003764595,0.0002140299,0.0007148812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725811,"about_ca_system_score_gemma":0.0003967425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541355,"about_ca_topic_score_gemma":0.02850783,"domain_scores_codex":[0.9998502,0.00001416318,0.00001326403,0.0000316692,0.00006519476,0.00002557423],"domain_scores_gemma":[0.9998612,0.00001606619,0.00002305792,0.00002382019,0.00006587354,0.000009938314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005035004,0.0005070213,0.1840558,0.0007979737,0.0003685082,0.00130202,0.00182837,0.05476999,0.09486476,0.004006432,0.05516573,0.6018298],"study_design_scores_gemma":[0.00007599453,0.0001570468,0.7140232,0.00009600746,0.0001395834,0.0005391169,0.002389881,0.1847701,0.04244154,0.003617371,0.05158015,0.0001699082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839228,0.0003197515,0.07189845,0.0001916291,0.00008731375,0.0006464423,0.05963548,0.007601799,0.02039116],"genre_scores_gemma":[0.8752888,0.0002628325,0.08852192,0.00006055678,0.00002409253,0.000358557,0.03230952,0.0002752588,0.002898411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541355,"threshold_uncertainty_score":0.0306477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095439882329968,"score_gpt":0.2068985616644876,"score_spread":0.1959441628411879,"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."}}