{"id":"W4387633521","doi":"10.5194/tc-17-4325-2023","title":"Evaluating Snow Microwave Radiative Transfer (SMRT) model emissivities with 89 to 243 GHz observations of Arctic tundra snow","year":2023,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Met Office; Environment and Climate Change Canada; University of Leeds; Sight Research UK; Wilfrid Laurier University; Polar Knowledge Canada; UK Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Université du Québec à Trois-Rivières","keywords":"Snow; Emissivity; Environmental science; Radiative transfer; Atmospheric sciences; Atmospheric radiative transfer codes; Tundra; Arctic; Remote sensing; Meteorology; Physics; Geology; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007147204,0.0004780318,0.000342864,0.0002180312,0.0003330993,0.0004101197,0.0005466442,0.0005143522,0.0004958605],"category_scores_gemma":[0.001242512,0.0002280057,0.0006993315,0.0003057993,0.0002335232,0.0003356914,0.0002729331,0.000347187,0.0001595589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007777828,"about_ca_system_score_gemma":0.0004076645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03998706,"about_ca_topic_score_gemma":0.02289855,"domain_scores_codex":[0.9997907,0.00008078255,0.00001165102,0.00004400507,0.00004231858,0.000030508],"domain_scores_gemma":[0.9995922,0.0001930991,0.0000457767,0.00005197936,0.00009410433,0.00002277486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001604456,0.00005781476,0.01973941,0.00002366212,0.00007217258,0.00007111697,0.00006373764,0.9669871,0.007897248,0.0001002711,0.00009626384,0.004730795],"study_design_scores_gemma":[0.00003147868,0.00006414545,0.01263438,0.000003864793,0.00001770117,0.00001572814,0.00002715993,0.981822,0.005142183,0.00005312476,0.000178164,0.00001000806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949237,0.00002410945,0.003961992,0.00002329484,0.000004939827,0.00001193502,0.0001673566,0.0001503564,0.0007323764],"genre_scores_gemma":[0.9975987,0.00001238279,0.002028554,0.000008999818,0.000002329904,0.00001173952,0.0001914546,0.00002426968,0.000121381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03998706,"threshold_uncertainty_score":0.0795086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07477541247712759,"score_gpt":0.271060621376554,"score_spread":0.1962852088994264,"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."}}