{"id":"W3111407686","doi":"10.5194/hess-24-5985-2020","title":"Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions","year":2020,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria; Université de Sherbrooke","funders":"Canadian Space Agency","keywords":"SWOT analysis; Environmental science; Elevation (ballistics); Ocean surface topography; Satellite; Surface water; Hydrology (agriculture); Remote sensing; Geology; Climatology; Environmental engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603619,0.00009404106,0.0001204416,0.00001164039,0.0008504702,0.00007912164,0.0001422874,0.00003929226,0.00003777777],"category_scores_gemma":[0.000003684542,0.00003861669,0.00003504428,0.00007368947,0.0004287013,0.0002383575,0.0001577875,0.00005686037,0.00000182532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005709557,"about_ca_system_score_gemma":0.000003622429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003913318,"about_ca_topic_score_gemma":0.00005931322,"domain_scores_codex":[0.9990728,0.0001313371,0.0001489483,0.000234879,0.0001770513,0.0002349501],"domain_scores_gemma":[0.9997258,0.00008414581,0.00005140741,0.00009157004,0.000007010592,0.00004005379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009984436,0.00002917585,0.9322016,0.0001293753,0.0000257576,3.654918e-7,0.003908472,0.02814137,0.03415988,0.001250185,0.00009951104,0.0000443218],"study_design_scores_gemma":[0.000912542,0.0004052838,0.813324,0.0001045661,0.0001312431,0.000007663676,0.02716063,0.08913578,0.06447601,0.001325986,0.002679396,0.0003368879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994417,0.00005159648,0.000208381,0.00459048,0.0001792802,0.0003316596,0.000005764452,0.00001475018,0.0002011004],"genre_scores_gemma":[0.9997199,0.000009243997,0.00006875993,0.00009320147,0.0000224097,0.00000193084,0.000003637799,0.00000310271,0.00007779239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188776,"threshold_uncertainty_score":0.6541215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105465275100703,"score_gpt":0.2587241803415389,"score_spread":0.2376695275905319,"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."}}