{"id":"W2998091664","doi":"","title":"Wetlands and inundated surface variability over Canada and Alaska derived from microwave satellite data","year":2004,"lang":"en","type":"article","venue":"AGUSM","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wetland; Environmental science; Satellite; Surface water; Geography; Hydrology (agriculture); Remote sensing; Environmental resource management; Ecology; Geology; Environmental engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216542,0.0001147154,0.0001228043,0.000004478547,0.00008552457,0.00003415987,0.0001224296,0.00006127656,0.0000297635],"category_scores_gemma":[0.00003264745,0.00009605649,0.000007312752,0.00007160058,0.0001507439,0.0001264992,0.0003309342,0.00009904911,0.000007417225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096319,"about_ca_system_score_gemma":0.00004311993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8398026,"about_ca_topic_score_gemma":0.9540944,"domain_scores_codex":[0.9991251,0.0000371349,0.0001175264,0.0004087408,0.0001358856,0.0001756047],"domain_scores_gemma":[0.9993645,0.00007783834,0.00003576474,0.0004122643,0.000003481921,0.0001061529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001874839,0.00002268509,0.8757876,0.000005550736,0.00003129552,0.00004798262,0.0007458553,0.0000813657,0.09422699,0.000002801301,0.0004924398,0.02853669],"study_design_scores_gemma":[0.0003660632,0.00000782396,0.9904541,0.00001048285,0.00001874397,0.00001060749,0.00004925167,0.0001572061,0.005769262,0.0005171102,0.002500777,0.0001385771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971029,0.0001587447,0.00006936098,0.000270459,0.0001045318,0.0000760992,0.00002300614,0.00001524939,0.002179684],"genre_scores_gemma":[0.9972217,0.00009835784,0.002078753,0.0004227016,0.00002507135,5.276077e-8,0.0000916085,0.000008360543,0.00005340602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146665,"threshold_uncertainty_score":0.391707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00900139719399436,"score_gpt":0.1997859671072052,"score_spread":0.1907845699132108,"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."}}