{"id":"W3125231513","doi":"10.3390/hydrology8010011","title":"The Influence of Snow and Ice Albedo towards Improved Lake Ice Simulations","year":2021,"lang":"en","type":"article","venue":"Hydrology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canada Foundation for Innovation","keywords":"Sea ice; Arctic ice pack; Cryosphere; Arctic; Snow; Temperate climate; Shelf ice; Antarctic sea ice; Geology; Climatology; Sea ice thickness; Physical geography; Oceanography; Geomorphology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299732,0.00006541557,0.0001065346,0.00001486413,0.0001898802,0.00001453212,0.0001037385,0.0000582855,0.0003027036],"category_scores_gemma":[0.0002398447,0.00004645985,0.00002271031,0.0001060688,0.0002321261,0.00007663445,0.00002469409,0.0001058479,0.00001363088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001001677,"about_ca_system_score_gemma":0.00007609071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007949507,"about_ca_topic_score_gemma":0.01639776,"domain_scores_codex":[0.9993907,0.00006575817,0.0001472424,0.0001420341,0.00007268058,0.0001816206],"domain_scores_gemma":[0.999096,0.0005813618,0.0000602427,0.0001534763,0.00006104796,0.00004791032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001303728,0.00004311997,0.7701871,0.00005186134,0.0001239415,0.00004414358,0.002027853,0.1205355,0.001047561,0.002206142,0.00007375401,0.1035286],"study_design_scores_gemma":[0.0002907391,0.0001227123,0.7404954,0.000007348594,0.00003673471,0.0001073218,0.0002318305,0.2396253,0.00007825412,0.003508769,0.01537905,0.0001165877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958254,0.0001432245,0.0001599162,0.001762365,0.0001000193,0.00004959897,0.0000528047,0.000009162541,0.001897575],"genre_scores_gemma":[0.9985045,0.0001433654,0.0003168712,0.0006669494,0.00003179976,3.481461e-7,0.00004504356,0.00000165244,0.0002894836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190897,"threshold_uncertainty_score":0.9150333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006921509395549537,"score_gpt":0.2131959357876722,"score_spread":0.2062744263921227,"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."}}