{"id":"W3134510957","doi":"10.5194/egusphere-egu2020-19061","title":"Towards improving radiometry-derived snow depths with SNOWPACK and SMRT","year":2020,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Snowpack; Snow; Sea ice thickness; Atmospheric sciences; Geology; Sea ice; Environmental science; Climatology; Cryosphere; Geomorphology","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":[0.001320176,0.001212378,0.0005872463,0.001273551,0.0002521233,0.001324002,0.00151178,0.000791796,0.002460474],"category_scores_gemma":[0.003863632,0.0006891566,0.001118156,0.001550018,0.0002686833,0.001684282,0.0009578281,0.0006965522,0.002429833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006190104,"about_ca_system_score_gemma":0.0009107331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760704,"about_ca_topic_score_gemma":0.02025081,"domain_scores_codex":[0.9995984,0.00009236603,0.00003538512,0.0001518647,0.00007816951,0.00004383804],"domain_scores_gemma":[0.9992461,0.0001352814,0.0001454338,0.0001898197,0.0002416383,0.00004162641],"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":[0.0002909006,0.0004033023,0.1721878,0.0005320302,0.0007453602,0.0002298386,0.0004280755,0.414332,0.03689626,0.004663073,0.01128507,0.3580064],"study_design_scores_gemma":[0.00007187723,0.00006282669,0.03943371,0.00009859924,0.0001037312,0.00005455625,0.00008564244,0.933211,0.01082641,0.002214359,0.01375621,0.00008109376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3949405,0.001279575,0.5710371,0.0006083912,0.0003624709,0.0002181756,0.007643281,0.01528027,0.008630251],"genre_scores_gemma":[0.6648971,0.0004130919,0.3220282,0.0003535772,0.0001466176,0.0001315487,0.008045723,0.001527508,0.002456488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01760704,"threshold_uncertainty_score":0.03500909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197739054083709,"score_gpt":0.1882183657880286,"score_spread":0.1762409752471915,"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."}}