{"id":"W2735551134","doi":"","title":"Multi-Frequency Measured and Modeled Microwave Backscatter from a Highly Saline Snow Cover on Smooth First-Year Sea Ice","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Backscatter (email); Sea ice; Snow; Microwave; Snow cover; Environmental science; Remote sensing; Cover (algebra); Geology; Sea ice concentration; Sea ice thickness; Climatology; Atmospheric sciences; Cryosphere; Geomorphology; Engineering; Telecommunications","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":[0.000186265,0.0003696783,0.0002707682,0.0002877937,0.0003849519,0.0004482192,0.0002768159,0.0005027209,0.0005214787],"category_scores_gemma":[0.000309241,0.0002130303,0.0005680681,0.0002321636,0.0003890746,0.0004108349,0.0002230994,0.000249266,0.00009669256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462581,"about_ca_system_score_gemma":0.000290886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142794,"about_ca_topic_score_gemma":0.01536604,"domain_scores_codex":[0.9999267,0.00001150995,0.000005090604,0.00002421182,0.000009580641,0.00002291544],"domain_scores_gemma":[0.9998554,0.00005089433,0.00001771101,0.00001619557,0.00002907359,0.00003060154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002424175,0.0004534839,0.5355379,0.0001271061,0.0003409502,0.001066483,0.0004376244,0.2679354,0.1792977,0.0003959603,0.0008163652,0.01116693],"study_design_scores_gemma":[0.00008232163,0.0002266959,0.8056174,0.000009860444,0.0001043402,0.0001731454,0.0002644875,0.1852373,0.007921174,0.0001075208,0.0002274591,0.00002828382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995266,0.00001130809,0.0001552799,0.00001052866,0.00000386211,0.000001280085,0.0001033306,0.00001155245,0.000176377],"genre_scores_gemma":[0.9997666,0.000007643951,0.00006844022,0.000002855747,0.000001770366,9.708763e-7,0.0001040836,0.000002459876,0.00004502734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142794,"threshold_uncertainty_score":0.02839255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661945609678934,"score_gpt":0.2175939527918259,"score_spread":0.1909744966950365,"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."}}