{"id":"W2094351192","doi":"10.3402/tellusa.v66.23929","title":"Impact of partly ice-free Lake Ladoga on temperature and cloudiness in an anticyclonic winter situation – a case study using a limited area model","year":2014,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climatology; Environmental science; Anticyclone; Cloud cover; Data assimilation; Numerical weather prediction; Greenland ice sheet; Geology; Physical geography; Meteorology; Glacier; Geography; Cloud computing","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":[0.0006017648,0.0002355215,0.00042599,0.0003791338,0.0001753763,0.00003296731,0.0001380986,0.000177389,0.0000628971],"category_scores_gemma":[0.00007182085,0.0001688633,0.0000812646,0.0004513954,0.0002054563,0.0001798442,0.00002606706,0.0002465097,5.476272e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003177214,"about_ca_system_score_gemma":0.00002238059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002348694,"about_ca_topic_score_gemma":0.01504278,"domain_scores_codex":[0.9983606,0.0004310286,0.0003536345,0.0004259727,0.0001244952,0.0003043131],"domain_scores_gemma":[0.9989872,0.0003594499,0.0001288869,0.0003336317,0.00005093149,0.000139894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000336583,0.0002058596,0.8799047,0.00001152769,0.0000630693,0.00006769515,0.0009286563,0.1172926,0.0001448544,0.00003175222,0.000001685297,0.001011028],"study_design_scores_gemma":[0.0008620333,0.001589085,0.4474455,0.000006612544,0.00006152577,0.00006267893,0.0002117696,0.5476955,5.81236e-7,0.001951253,3.02171e-7,0.0001131657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989281,0.0001721595,0.0002632179,0.00002656344,0.00004935126,0.0003702369,0.00009153701,0.00002556665,0.00007332445],"genre_scores_gemma":[0.9994082,0.00001960664,0.0003776938,0.000101525,0.00001689451,0.000001555963,0.00006588331,0.000005598904,0.000002985016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4324592,"threshold_uncertainty_score":0.8394223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866136084841926,"score_gpt":0.2753626060161732,"score_spread":0.2467012451677539,"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."}}