{"id":"W3203170306","doi":"10.3390/rs13193878","title":"Remote Sensing of Wetlands in the Prairie Pothole Region of North America","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; University of Lethbridge; Alberta Environment and Protected Areas","funders":"Mitacs","keywords":"Remote sensing; Wetland; Geospatial analysis; Environmental science; Ground truth; Vegetation (pathology); Earth observation; Synthetic aperture radar; Aerial survey; Satellite; Computer science; Geography; Ecology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002506409,0.0001440497,0.0002649725,0.00005591225,0.0001099176,0.00001862662,0.000123594,0.00006109879,0.000005413311],"category_scores_gemma":[0.0001573015,0.0001211589,0.0001005371,0.0009810278,0.000288378,0.00005641894,0.00009343841,0.0002126868,0.00002111719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006696954,"about_ca_system_score_gemma":0.00003510923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204251,"about_ca_topic_score_gemma":0.002462146,"domain_scores_codex":[0.9984639,0.0002034452,0.0003949721,0.000323495,0.0003570503,0.000257159],"domain_scores_gemma":[0.9988155,0.0001775838,0.0002433505,0.0006760847,0.00004075345,0.00004668544],"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":[0.00001336946,0.00001930411,0.0003669425,0.0000183855,0.00000838271,0.0001127873,0.001697503,0.002330516,0.03811783,0.000003193145,0.0004904477,0.9568213],"study_design_scores_gemma":[0.001127318,0.0001499806,0.09683114,0.0006789818,0.000147101,0.002339858,0.003483576,0.7623482,0.06040293,0.00275202,0.06884998,0.0008888582],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376616,0.00003146911,0.04407347,0.001923267,0.0000571885,0.0001489391,0.000001944215,0.00002429107,0.01607783],"genre_scores_gemma":[0.9320152,0.00003794145,0.06738497,0.00028557,0.00004172977,9.779694e-10,0.0000141442,0.00001801506,0.0002024744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9559325,"threshold_uncertainty_score":0.4940717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497985271969689,"score_gpt":0.2384277299727818,"score_spread":0.2234478772530849,"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."}}