{"id":"W1984233086","doi":"10.1007/s00382-009-0567-y","title":"Quantifying Arctic contributions to climate predictability in a regional coupled ocean-ice-atmosphere model","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"European Commission","keywords":"Climatology; Sea ice; Arctic ice pack; Arctic sea ice decline; Predictability; Arctic geoengineering; Arctic; North Atlantic oscillation; Climate model; Environmental science; Arctic dipole anomaly; Forcing (mathematics); Cryosphere; Geology; Drift ice; Oceanography; Climate change","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006231323,0.0005265499,0.0005295507,0.0002907862,0.0004583413,0.0008293031,0.0007793483,0.0006318011,0.0006835668],"category_scores_gemma":[0.001966752,0.0004688565,0.0005456302,0.000392463,0.00032974,0.0006333569,0.0007316097,0.0005669675,0.00009609215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009900772,"about_ca_system_score_gemma":0.0007718428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05271968,"about_ca_topic_score_gemma":0.03008037,"domain_scores_codex":[0.9998431,0.00006660358,0.000008310521,0.0000365405,0.00001732734,0.00002805636],"domain_scores_gemma":[0.9994563,0.0003337429,0.00006328506,0.00004001828,0.00006264896,0.00004392403],"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":[0.00008189798,0.00002001776,0.005217913,0.00000928985,0.00005538277,0.00002518848,0.00002185449,0.9922755,0.0004934851,0.0006126012,0.0001052751,0.001081607],"study_design_scores_gemma":[0.00001130857,0.00001629271,0.0008644599,0.00000172534,0.00002084349,0.000002869958,0.000006050635,0.9987326,0.00009079748,0.0001890604,0.00006035579,0.000003594074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897175,0.0001515097,0.007397545,0.0001546678,0.00001872763,0.00001077459,0.0003766034,0.0001697278,0.002002947],"genre_scores_gemma":[0.9971706,0.00006124938,0.002118431,0.00001478948,0.000006807064,0.00001187231,0.0002420158,0.00002334072,0.0003509635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05271968,"threshold_uncertainty_score":0.1048256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889332060679145,"score_gpt":0.2649824916057277,"score_spread":0.2460891709989363,"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."}}