{"id":"W1606999916","doi":"10.3390/rs70607615","title":"A Collection of SAR Methodologies for Monitoring Wetlands","year":2015,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; Government of Canada; Natural Resources Canada","funders":"","keywords":"Wetland; Remote sensing; Thresholding; Environmental science; Synthetic aperture radar; Vegetation (pathology); Change detection; Land cover; Land use; Computer science; Geography; Ecology; Artificial intelligence; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873522,0.001099729,0.0006200853,0.004678373,0.0004576851,0.0007856344,0.0005513739,0.0005795255,0.001736647],"category_scores_gemma":[0.001601347,0.0003829591,0.0005805964,0.003588977,0.000346098,0.0007948933,0.0005892987,0.0007252334,0.001544276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719492,"about_ca_system_score_gemma":0.0003895255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005350885,"about_ca_topic_score_gemma":0.001456597,"domain_scores_codex":[0.9991921,0.0001410868,0.0000642429,0.0001521666,0.0004208589,0.00002960893],"domain_scores_gemma":[0.9985642,0.0002610111,0.0001600059,0.0003228634,0.0006332944,0.00005867848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003906061,0.00007845394,0.00388283,0.0007261817,0.0001022973,0.0001025714,0.0001395425,0.005033674,0.06547172,0.004208105,0.009487539,0.9107279],"study_design_scores_gemma":[0.00007094517,0.001103843,0.09299959,0.001081437,0.0004606997,0.006734326,0.0006137237,0.06280388,0.1679996,0.02226747,0.6435332,0.0003313115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01805232,0.01314735,0.9364126,0.0005506473,0.0003421242,0.0006137408,0.001896174,0.002120768,0.02686429],"genre_scores_gemma":[0.05852549,0.01827864,0.9099982,0.0003472601,0.0003838267,0.0004913237,0.002503294,0.0002417915,0.009230198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004678373,"threshold_uncertainty_score":0.009908259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09453056206518459,"score_gpt":0.3400848198058319,"score_spread":0.2455542577406473,"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."}}