{"id":"W3095694818","doi":"10.1029/2019ms001902","title":"Disentangling the Coupled Atmosphere‐Ocean‐Ice Interactions Driving Arctic Sea Ice Response to CO<sub>2</sub> Increases","year":2020,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"U.S. Department of Energy","keywords":"Sea ice; Arctic ice pack; Arctic sea ice decline; Sea ice thickness; Drift ice; Atmosphere (unit); Climatology; Antarctic sea ice; Cryosphere; Arctic; Geology; Oceanography; Lead (geology); Thermohaline circulation; Environmental science; Sea ice growth processes; Arctic geoengineering; Meteorology; Geography; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334692,0.0002136479,0.0004125067,0.00006015239,0.0002998762,0.0001531984,0.0004000131,0.00004855489,0.00003512461],"category_scores_gemma":[0.0009973549,0.0001525863,0.0001342103,0.0004269863,0.00005910428,0.0009479184,0.00002767773,0.0005829455,0.00003729803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003364081,"about_ca_system_score_gemma":0.0001542355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241177,"about_ca_topic_score_gemma":0.0008148687,"domain_scores_codex":[0.9975154,0.0004001273,0.0008816555,0.0002478207,0.0005841398,0.0003708339],"domain_scores_gemma":[0.9975178,0.001316882,0.0004571171,0.0001794705,0.0002180444,0.000310742],"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":[0.0006414977,0.00001777579,0.1773825,0.00005867222,0.00002573069,0.00006415001,0.0009089744,0.8197227,0.0001690005,0.000004036081,0.0000193104,0.0009856677],"study_design_scores_gemma":[0.0003823249,0.0002240955,0.00366033,0.0006405801,0.00003974265,0.0002440375,0.006724631,0.9868838,0.00002239356,0.00004908889,0.0009388419,0.0001902039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682225,0.001700871,0.02784316,0.001062872,0.000814217,0.0002396053,0.00001981479,0.00002354357,0.00007342664],"genre_scores_gemma":[0.9969236,0.00070995,0.001221738,0.0005234469,0.0005901677,9.091586e-7,0.000006894913,0.00001252772,0.0000107464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1737222,"threshold_uncertainty_score":0.6222287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329548033422431,"score_gpt":0.2449405817722498,"score_spread":0.2316451014380255,"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."}}