{"id":"W2806992094","doi":"10.5194/gmd-12-1139-2019","title":"The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification","year":2019,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":356,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; Bundesministerium für Bildung und Forschung; U.S. Department of Energy; European Commission; National Oceanic and Atmospheric Administration; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; Natural Environment Research Council; Global Change Institute, University of the Witwatersrand, Johannesburg; Met Office; National Science Foundation","keywords":"Sea ice; Coupled model intercomparison project; Climatology; Polar; Environmental science; Arctic; Forcing (mathematics); Radiative forcing; Climate model; Climate change; Arctic sea ice decline; Arctic ice pack; Atmospheric sciences; Geology; Sea ice thickness; Oceanography; Physics","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":[0.007766589,0.001570474,0.0008281199,0.0006646142,0.0008964852,0.001719037,0.001977714,0.001749416,0.00254262],"category_scores_gemma":[0.009430844,0.0004069772,0.001388871,0.001158045,0.0006755769,0.001718087,0.003166297,0.002578281,0.0005422315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073594,"about_ca_system_score_gemma":0.003040615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02509072,"about_ca_topic_score_gemma":0.01128692,"domain_scores_codex":[0.9987187,0.0007072688,0.00005688703,0.0001661189,0.0002684841,0.00008247812],"domain_scores_gemma":[0.9968337,0.000968186,0.0003085463,0.0006727687,0.000857913,0.0003588931],"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":[0.001730608,0.0006052339,0.08236562,0.001384134,0.002780243,0.0004517612,0.0005859754,0.6584506,0.02101445,0.01996689,0.1078428,0.1028217],"study_design_scores_gemma":[0.002463173,0.0006149129,0.05903451,0.0004768393,0.0009882102,0.0001500593,0.000453567,0.8106498,0.02096568,0.02869763,0.07501271,0.0004929358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6981015,0.006365299,0.09159091,0.03155687,0.005736447,0.001225926,0.1127171,0.006444534,0.04626145],"genre_scores_gemma":[0.868633,0.001793943,0.07176368,0.00169406,0.0007239767,0.0009321253,0.05083764,0.001556218,0.002065291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02509072,"threshold_uncertainty_score":0.04988939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082222288647661,"score_gpt":0.2463325504831948,"score_spread":0.2155103275967182,"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."}}