{"id":"W2089456916","doi":"10.1109/igarss.2012.6351618","title":"Spatially distributed dual frequency (17.2 and 9.2 GHZ) scatterometer observations of shallow tundra snow","year":2012,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Scatterometer; Tundra; Environmental science; Water equivalent; Remote sensing; Climatology; Arctic; Meteorology; Geology; Geography; Oceanography; Wind speed","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":[0.0001921069,0.000187344,0.0002271681,0.0007433546,0.0001987889,0.0002841978,0.000194356,0.0001650344,0.0003107396],"category_scores_gemma":[0.0002196491,0.00014867,0.0001298852,0.0007828074,0.0001737211,0.0001768109,0.0003782791,0.0001777889,0.00009452398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901165,"about_ca_system_score_gemma":0.0002377763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005184071,"about_ca_topic_score_gemma":0.01385269,"domain_scores_codex":[0.999881,0.00002277331,0.000005899356,0.00003850622,0.0000279458,0.00002395374],"domain_scores_gemma":[0.9998246,0.0000203792,0.00004917702,0.00002802135,0.00004014198,0.0000376561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007205154,0.0002042688,0.589228,0.00007452524,0.0001722049,0.0003331006,0.0005318376,0.0100404,0.3705855,0.0003450659,0.0005999953,0.02716453],"study_design_scores_gemma":[0.00006810248,0.0001527293,0.9650319,0.000009877918,0.00009043036,0.0003345456,0.0002667032,0.01889436,0.01373071,0.0001340123,0.001266864,0.0000198705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985213,0.00003727231,0.0007512424,0.00001232794,0.000003256468,0.000002532865,0.0003057057,0.00001678898,0.0003496873],"genre_scores_gemma":[0.9971843,0.00003906925,0.002077909,0.000007813291,0.00001045723,0.000006712246,0.0005169802,0.000004313543,0.0001523824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005184071,"threshold_uncertainty_score":0.01030785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031168909875881,"score_gpt":0.2220302627586944,"score_spread":0.1817185736599356,"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."}}