{"id":"W4234050234","doi":"10.5194/gmd-2018-82","title":"The Polar Amplification Model Intercomparison Project (PAMIP)contribution to CMIP6: investigating the causes and consequences ofpolar amplification","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Global Change Institute, University of the Witwatersrand, Johannesburg; Horizon 2020 Framework Programme; Bundesministerium für Bildung und Forschung; 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; Met Office; U.S. Department of Energy; National Science Foundation","keywords":"Sea ice; Coupled model intercomparison project; Climatology; Environmental science; Polar; Arctic; Forcing (mathematics); Radiative forcing; Arctic sea ice decline; Climate model; Climate change; 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":[0.007664765,0.001681797,0.0008344901,0.0006454628,0.0008912613,0.001677456,0.001928738,0.001736507,0.002624918],"category_scores_gemma":[0.00916562,0.0004141085,0.001359844,0.001178043,0.0006413318,0.001694361,0.003255646,0.002633332,0.0005643129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111948,"about_ca_system_score_gemma":0.003120495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372915,"about_ca_topic_score_gemma":0.01029213,"domain_scores_codex":[0.9987936,0.0006503982,0.0000515629,0.0001618043,0.0002633916,0.00007929383],"domain_scores_gemma":[0.9969046,0.0009549413,0.0003092954,0.0006430243,0.0008498256,0.0003382759],"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":[0.001852234,0.0006012807,0.07399996,0.001368671,0.002555846,0.0004399514,0.0005783011,0.6579403,0.02263691,0.02029504,0.1069341,0.1107975],"study_design_scores_gemma":[0.002485949,0.0006740309,0.05733166,0.0004477531,0.0009838389,0.0001543076,0.0004054046,0.8083972,0.02240126,0.0298362,0.07641319,0.0004691666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6751189,0.006630133,0.1051921,0.03187804,0.005992,0.001326083,0.116194,0.00727927,0.05038944],"genre_scores_gemma":[0.8623359,0.001866817,0.0765653,0.00171291,0.0006908539,0.001019896,0.05176284,0.001654473,0.002391076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02372915,"threshold_uncertainty_score":0.04718202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828834967179979,"score_gpt":0.2840253369229177,"score_spread":0.2357369872511179,"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."}}