{"id":"W2793382712","doi":"10.1038/s41561-018-0059-y","title":"Consistency and discrepancy in the atmospheric response toArctic sea-ice loss across climate models","year":2018,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":405,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Arctic sea ice decline; Sea ice; Arctic geoengineering; Arctic ice pack; Climatology; Arctic; Environmental science; Northern Hemisphere; Cryosphere; Climate change; Climate model; Arctic dipole anomaly; Ice-albedo feedback; Antarctic sea ice; Geology; Oceanography","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":[0.01029,0.0005645055,0.0007969835,0.001127565,0.0006541029,0.00244496,0.001452445,0.001921382,0.002205098],"category_scores_gemma":[0.02487509,0.0009393651,0.001615195,0.001088668,0.001100416,0.001892011,0.002012704,0.001195344,0.0005401238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013942,"about_ca_system_score_gemma":0.0009794958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599042,"about_ca_topic_score_gemma":0.01092014,"domain_scores_codex":[0.99657,0.001701556,0.0003824449,0.0007988728,0.0002691249,0.0002780879],"domain_scores_gemma":[0.986094,0.007796807,0.001303282,0.002977162,0.001476823,0.0003519218],"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":[0.002126651,0.0003215154,0.6449638,0.0003203595,0.00314701,0.0002323084,0.0008692117,0.3195915,0.009252142,0.004288615,0.003535375,0.01135167],"study_design_scores_gemma":[0.0004892247,0.0002821189,0.6230054,0.0001244868,0.0007743527,0.0001638619,0.001078532,0.3604985,0.004229567,0.005080531,0.00412778,0.0001456064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902562,0.0005052288,0.003318594,0.001009064,0.0001419721,0.00002626731,0.001668381,0.0003042415,0.002769975],"genre_scores_gemma":[0.9973553,0.00008078114,0.0005332773,0.0001348927,0.00002839877,0.00001035793,0.001402589,0.0001090564,0.000345436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599042,"threshold_uncertainty_score":0.05441934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008191561868482924,"score_gpt":0.2477830592449067,"score_spread":0.2395914973764238,"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."}}