{"id":"W2795551263","doi":"","title":"Assessment of Snow, Sea Ice, and Related Climate Processes in Canada's Earth System Models and Climate Prediction Systems","year":2017,"lang":"en","type":"article","venue":"97th American Meteorological Society Annual Meeting","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sea ice; Earth system science; Climatology; Snow; Climate system; Cryosphere; Environmental science; Climate model; Climate change; Earth (classical element); Meteorology; Geology; Physical geography; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003706737,0.0007958884,0.0004897318,0.0009273377,0.001578975,0.002285862,0.001404152,0.0006946043,0.001011756],"category_scores_gemma":[0.008124332,0.0004263188,0.0006467261,0.000908469,0.0005326091,0.001097364,0.0009200993,0.0007626695,0.0001581595],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02181818,"about_ca_system_score_gemma":0.03325756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785922,"about_ca_topic_score_gemma":0.9806341,"domain_scores_codex":[0.9991316,0.0002768885,0.000062651,0.0001061877,0.0003182479,0.0001043868],"domain_scores_gemma":[0.9959972,0.0009430544,0.0001737982,0.0001638939,0.00242457,0.0002974269],"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":[0.000254028,0.0002644201,0.1211011,0.0001325557,0.0003931597,0.00008855071,0.000208851,0.8417559,0.00109552,0.003241999,0.004724004,0.02674],"study_design_scores_gemma":[0.00006854444,0.00005532459,0.05955326,0.00004746649,0.0001400999,0.00001360977,0.0002535882,0.9349174,0.0009573968,0.0007927328,0.003158817,0.0000418436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786777,0.0008089165,0.003347195,0.00212167,0.00006236362,0.0001738233,0.006834666,0.0003237544,0.007649846],"genre_scores_gemma":[0.9914098,0.0002770099,0.003816324,0.0001149212,0.00001238973,0.00003573615,0.002594186,0.00003257616,0.001707092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9781818,"threshold_uncertainty_score":0.1583027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128432150686659,"score_gpt":0.2448413419801496,"score_spread":0.223557020473283,"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."}}