{"id":"W3091833241","doi":"10.1038/s41612-020-00143-w","title":"Low Antarctic continental climate sensitivity due to high ice sheet orography","year":2020,"lang":"en","type":"article","venue":"npj Climate and Atmospheric Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"U.S. Department of Energy; Pacific Northwest National Laboratory; Office of Science; National Science Foundation","keywords":"Orography; Climatology; Environmental science; Moisture; Advection; Extratropical cyclone; Geology; Climate model; Atmospheric sciences; Climate change; Precipitation; Oceanography; Meteorology; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001109936,0.0002919569,0.0003634529,0.000008206523,0.0007077515,0.0002331515,0.0003765021,0.00006987165,0.0006480049],"category_scores_gemma":[0.0001495449,0.0002629659,0.00008079498,0.001655156,0.001072774,0.0008131796,0.001095193,0.0001793508,0.0003724254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009528505,"about_ca_system_score_gemma":0.00002575912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006204461,"about_ca_topic_score_gemma":0.0001288935,"domain_scores_codex":[0.9968036,0.00007743452,0.0003427429,0.001113851,0.0006311607,0.001031196],"domain_scores_gemma":[0.9986457,0.0001279831,0.0001032354,0.0003664327,0.00002917152,0.0007275091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004422501,0.0007063316,0.4381888,0.0003045431,0.00002454142,0.0003552113,0.005015647,0.01401686,0.5100549,0.001822774,0.000784278,0.02828388],"study_design_scores_gemma":[0.001870174,0.00112285,0.7493373,0.0001462479,0.0001105738,0.0002288326,0.001922236,0.2254898,0.01433657,0.0005373168,0.002984745,0.001913365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938295,0.00001504291,0.0005780399,0.002688477,0.0002019255,0.0003897788,0.00007249548,0.0001479758,0.002076698],"genre_scores_gemma":[0.9846417,0.0001590979,0.01039676,0.004699924,0.00005567639,0.0000161359,0.000006069874,0.00001874082,0.000005843832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4957183,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0099918372105113,"score_gpt":0.2203959530677963,"score_spread":0.210404115857285,"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."}}