{"id":"W2069645223","doi":"10.5194/acp-13-11209-2013","title":"On the possibilities to use atmospheric reanalyses to evaluate the warming structure in the Arctic","year":2013,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Korea Meteorological Administration; Academy of Finland; National Aeronautics and Space Administration","keywords":"Climatology; Environmental science; Arctic; Depth sounding; The arctic; Climate Forecast System; Atmospheric sciences; Meteorology; Geography; Precipitation; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008494917,0.00101777,0.0005900422,0.001996967,0.0003894366,0.002554431,0.0005484753,0.0004012614,0.001134253],"category_scores_gemma":[0.01362136,0.0004012458,0.001230458,0.002332844,0.0003609849,0.00186348,0.000772005,0.0007377319,0.0004571961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314137,"about_ca_system_score_gemma":0.001467708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03921999,"about_ca_topic_score_gemma":0.05525253,"domain_scores_codex":[0.9984433,0.001046611,0.0001393454,0.0001491224,0.0001782735,0.0000433035],"domain_scores_gemma":[0.9941617,0.002157695,0.0004875445,0.001023247,0.001982241,0.0001876136],"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":[0.0009610824,0.000284992,0.5196961,0.0004310361,0.00343686,0.0002812546,0.0008323966,0.2021973,0.01911025,0.007183458,0.00590017,0.2396851],"study_design_scores_gemma":[0.00020285,0.0002185867,0.3938904,0.0006658417,0.001069592,0.00007648092,0.001180418,0.5635018,0.01253901,0.009510543,0.01675397,0.0003904536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143927,0.007517734,0.1424786,0.003178493,0.0008130597,0.0002511761,0.009335744,0.004720463,0.01731198],"genre_scores_gemma":[0.761709,0.002216327,0.2310413,0.0002585766,0.0002382676,0.000127672,0.002708315,0.0004756764,0.001225046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03921999,"threshold_uncertainty_score":0.07798344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198670374513432,"score_gpt":0.2177920953951197,"score_spread":0.2058053916499853,"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."}}