{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404126,0.0001499845,0.0001647711,0.0009395016,0.00058083,0.0006877151,0.0002509668,0.0001980682,0.000661693],"category_scores_gemma":[0.000786988,0.0001203621,0.0002050018,0.001694532,0.0002458866,0.0002793603,0.0002207023,0.0001607833,0.00009307073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003042088,"about_ca_system_score_gemma":0.002349395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9185882,"about_ca_topic_score_gemma":0.9501393,"domain_scores_codex":[0.9999053,0.0000096559,0.000007603639,0.00002647803,0.00002364118,0.00002727786],"domain_scores_gemma":[0.9994425,0.0001067275,0.00008378453,0.00002446241,0.0002543166,0.00008812985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001618425,0.00002998419,0.9829865,0.00002344606,0.00009051583,0.0001344594,0.000297782,0.007342731,0.001501909,0.0002688372,0.0009326518,0.006229309],"study_design_scores_gemma":[0.00000676965,0.000003934448,0.9952818,0.000008506338,0.00002714611,0.00002131853,0.0002573442,0.003585131,0.0001800302,0.00004971036,0.0005712438,0.000007034672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972087,0.00006910999,0.0000640037,0.00001462938,0.000002971586,0.000001940846,0.002091991,0.0000109016,0.0005359396],"genre_scores_gemma":[0.9973426,0.0000624608,0.000124991,0.000004151355,0.000002018493,0.000002293773,0.002200615,0.00000315688,0.0002576578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08141178,"threshold_uncertainty_score":0.1637824,"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."}}