{"id":"W3170719805","doi":"10.5194/egusphere-egu2020-3560","title":"Validating snow surface radiative transfer models between 89 and 243GHz using airborne observations over Arctic tundra","year":2020,"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":"","funders":"","keywords":"Snow; Snowpack; Environmental science; Arctic; Radiometer; Depth sounding; Radiative transfer; Atmospheric radiative transfer codes; Emissivity; Radiance; Remote sensing; Atmospheric sciences; Advanced Microwave Sounding Unit; Brightness temperature; Tundra; Meteorology; Microwave; Geology; Geography; Physics; Oceanography","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":[0.0006516948,0.0008843818,0.0004889332,0.0003018294,0.0007484183,0.0008927653,0.001053415,0.001023672,0.0007560747],"category_scores_gemma":[0.001381815,0.0003779792,0.0009784548,0.0004806419,0.0004537362,0.0005992285,0.0004478419,0.0006561201,0.0003035968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576489,"about_ca_system_score_gemma":0.001262229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1920443,"about_ca_topic_score_gemma":0.09915814,"domain_scores_codex":[0.9997137,0.00007652448,0.00001843384,0.00007594251,0.00005271095,0.00006261181],"domain_scores_gemma":[0.9994942,0.000180627,0.00004914423,0.00006515415,0.0001541238,0.00005675237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001462707,0.0001834067,0.02784869,0.00003075891,0.00008179051,0.0001132057,0.0001097245,0.9630297,0.004419977,0.0001855891,0.0002880306,0.003562839],"study_design_scores_gemma":[0.00007959437,0.00008004478,0.01085624,0.000008887074,0.00002113668,0.00001106517,0.00009940447,0.9867157,0.001775127,0.00007466746,0.0002642091,0.00001388554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970696,0.00004125513,0.001163907,0.0000676171,0.00001174285,0.0000169375,0.0004258725,0.000202443,0.001000599],"genre_scores_gemma":[0.9974415,0.00002776899,0.001496128,0.00002215732,0.000005391762,0.00001722899,0.0007407065,0.00002636147,0.0002228756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920443,"threshold_uncertainty_score":0.3818529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423324934795626,"score_gpt":0.2502154151993303,"score_spread":0.1078829217197677,"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."}}