{"id":"W1908004599","doi":"10.1002/2015gl065320","title":"Trends and variability in rain‐on‐snow events","year":2015,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Washington; Joint Institute for the Study of the Atmosphere and Ocean; National Aeronautics and Space Administration; Goddard Space Flight Center; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"North Atlantic oscillation; Arctic oscillation; Climatology; Snow; Snow cover; Climate change; Physical geography; Geography; Environmental science; Geology; Oceanography; Northern Hemisphere; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003140202,0.000107748,0.0001500681,0.00009175166,0.0000766318,0.00002783478,0.0002368747,0.00005410442,0.0002671943],"category_scores_gemma":[0.001078335,0.00009317807,0.00003773486,0.0005838359,0.0005598168,0.0001738659,0.0004133245,0.0004411761,0.0004788066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003366629,"about_ca_system_score_gemma":0.0000149399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517781,"about_ca_topic_score_gemma":0.00007642766,"domain_scores_codex":[0.9972814,0.000685698,0.0001505539,0.0004954562,0.0008193154,0.0005676005],"domain_scores_gemma":[0.9985352,0.0007594207,0.00001504623,0.0003679498,0.00001058158,0.0003118647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002035181,0.006589598,0.4367957,0.0001083317,0.00005951086,0.0002337029,0.01147817,0.00912485,0.1110584,0.01696767,0.1038799,0.301669],"study_design_scores_gemma":[0.00211155,0.0004782545,0.8849115,0.00004490932,0.000005488008,0.000002617017,0.0001234918,0.0178258,0.0004874833,0.08311028,0.01044987,0.0004487527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749559,0.000001165571,0.00005852298,0.01546667,0.00004329627,0.000146996,0.000006578611,0.00001730305,0.009303635],"genre_scores_gemma":[0.9986662,0.000002449868,0.000147158,0.0007697666,0.00005126732,0.0000379404,0.000005284299,0.000008331291,0.0003116245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4481158,"threshold_uncertainty_score":0.6154249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07155460878297268,"score_gpt":0.3423203640115344,"score_spread":0.2707657552285617,"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."}}