{"id":"W4299430368","doi":"10.1007/s00382-022-06332-y","title":"Radiative and dynamic contributions to the observed temperature trends in the Arctic winter atmosphere","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Stratosphere; Environmental science; Climatology; Troposphere; Atmospheric sciences; Radiative forcing; Arctic; Global warming; Greenhouse gas; Atmosphere (unit); Radiative transfer; Ozone layer; Climate model; Climate change; Greenhouse effect; Atmospheric temperature; Meteorology; Geology; Geography; Physics; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000453006,0.0002079883,0.0001685476,0.000005209253,0.0007445582,0.00006200961,0.0005332451,0.00005403237,0.0008272483],"category_scores_gemma":[0.00002097411,0.0001373293,0.00007375275,0.0006226045,0.0002428172,0.0001093006,0.0007215801,0.0005043145,0.00004033443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310464,"about_ca_system_score_gemma":0.000005861965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002402669,"about_ca_topic_score_gemma":0.002306494,"domain_scores_codex":[0.998424,0.0002252302,0.0002280235,0.0003666896,0.0003063298,0.0004497104],"domain_scores_gemma":[0.9993495,0.00009346655,0.00007363896,0.0004009749,0.000003535449,0.00007883706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008559076,0.0002274473,0.2213043,0.000007233341,0.00002658158,0.0000417461,0.004433271,0.7626821,0.0001132646,0.001398867,0.0009581829,0.008721469],"study_design_scores_gemma":[0.0004264129,0.0001574894,0.6130453,0.000005737962,0.0000304057,0.00005841077,0.007731861,0.3736528,4.027989e-7,0.0003492812,0.004303448,0.0002383988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989234,0.00009382764,0.000390839,0.008419087,0.0001629455,0.0003728529,0.0002457085,0.00002579161,0.001054903],"genre_scores_gemma":[0.995874,0.00007979973,0.0005103439,0.002401326,0.00001383541,0.0001726397,0.0001237062,0.00002348289,0.0008008791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917411,"threshold_uncertainty_score":0.9057789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006085017148640203,"score_gpt":0.2248317787026881,"score_spread":0.2187467615540479,"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."}}