{"id":"W4306929210","doi":"10.1080/15481603.2022.2134620","title":"Tracking transient boreal wetland inundation with Sentinel-1 SAR: Peace-Athabasca Delta, Alberta and Yukon Flats, Alaska","year":2022,"lang":"en","type":"article","venue":"GIScience & Remote Sensing","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Wetland; Boreal; Environmental science; Vegetation (pathology); Remote sensing; Synthetic aperture radar; Taiga; Hydrology (agriculture); Physical geography; Geology; Geography; Ecology; Forestry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005698555,0.000219505,0.0002244966,0.00009175065,0.001035905,0.0001192752,0.0001975202,0.00004898698,0.0001746107],"category_scores_gemma":[0.00002927793,0.0001883595,0.00004628672,0.0005098442,0.0003741287,0.0003442663,0.0002589786,0.0002668237,0.00001262021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187435,"about_ca_system_score_gemma":0.00003912956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005079869,"about_ca_topic_score_gemma":0.01133265,"domain_scores_codex":[0.9977925,0.0001215563,0.0002611351,0.000700801,0.0005453861,0.0005786257],"domain_scores_gemma":[0.9993268,0.00008386461,0.0001393908,0.0002646059,0.00001330383,0.0001720498],"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":[0.000397738,0.0001581739,0.2786599,0.00003455228,0.00003445523,0.00038763,0.01649117,0.01397208,0.05856267,0.00003814536,0.002575036,0.6286885],"study_design_scores_gemma":[0.001683653,0.0005033523,0.6536471,0.00004754389,0.00007405067,0.001857693,0.001456674,0.305606,0.001530855,0.0001646921,0.03261621,0.0008121051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843376,0.0000304863,0.006110489,0.000951771,0.0001360739,0.0002194496,0.000005441712,0.00004155191,0.008167126],"genre_scores_gemma":[0.996322,0.00002533339,0.002692989,0.0003543762,0.00004756241,3.393934e-7,0.00004349398,0.00001963933,0.0004942533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6278764,"threshold_uncertainty_score":0.7967451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00855713010651026,"score_gpt":0.2117778787030277,"score_spread":0.2032207485965175,"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."}}