{"id":"W2016908308","doi":"10.1175/jtech-d-14-00100.1","title":"Numerical Simulation of Terrestrial Radiation over a Snow Cover","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université de Montréal","funders":"","keywords":"Water content; Emissivity; Snow cover; Detector; Environmental science; Snow; Remote sensing; Radiation; Moisture; Soil science; Meteorology; Physics; Geology; Optics; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134577,0.00009006436,0.000257957,0.00003598229,0.00004186311,0.00001275204,0.0001115215,0.0001173259,0.0001437327],"category_scores_gemma":[0.0001220863,0.00007449838,0.00007902081,0.0003172365,0.00008266056,0.0001178132,0.00001979289,0.0001862893,0.000002931826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001890786,"about_ca_system_score_gemma":0.00002897525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004564473,"about_ca_topic_score_gemma":5.63072e-8,"domain_scores_codex":[0.9992582,0.00002627901,0.0003935803,0.00009494607,0.0001208438,0.0001061324],"domain_scores_gemma":[0.9991372,0.0001010665,0.0005555722,0.0001172328,0.00005613155,0.00003276798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001519813,0.0001283809,0.2125086,0.000009746418,0.0001717832,0.000001356979,0.000107006,0.05680343,0.0007880238,0.01009254,0.001127049,0.7181101],"study_design_scores_gemma":[0.005313489,0.001776835,0.1034479,0.00006621357,0.0001354013,0.00003575276,0.0006124252,0.7784692,0.007353571,0.02539252,0.07697324,0.0004235118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193082,0.0001086343,0.07974309,0.0002506061,0.0002427775,0.00005436422,8.41018e-7,0.00003542125,0.0002560829],"genre_scores_gemma":[0.9985008,0.00001595596,0.001268745,0.00001955072,0.0001513413,6.348893e-7,2.02555e-7,0.000007348691,0.00003537235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7216657,"threshold_uncertainty_score":0.3037956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00498853752888134,"score_gpt":0.234282184535429,"score_spread":0.2292936470065477,"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."}}