{"id":"W1599730348","doi":"10.1002/grl.50156","title":"Surface response to stratospheric aerosol changes in a coupled atmosphere–ocean model","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Environmental science; Atmospheric sciences; Stratosphere; Precipitation; Climate model; Atmosphere (unit); Climatology; Sulfate aerosol; Atmospheric model; Global warming; Climate change; Meteorology; Geology; Geography; 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":[0.0004869695,0.0008550623,0.0008080281,0.0004569625,0.0006710197,0.001193703,0.001252349,0.001712181,0.002233771],"category_scores_gemma":[0.001457103,0.0005810565,0.001147238,0.0005140055,0.0006576486,0.0006861201,0.0008160026,0.0009429227,0.0002075769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441153,"about_ca_system_score_gemma":0.001346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105988,"about_ca_topic_score_gemma":0.04589421,"domain_scores_codex":[0.9998162,0.00006071274,0.00001043249,0.00004396139,0.00002133929,0.00004732142],"domain_scores_gemma":[0.9994974,0.000247807,0.00004443044,0.00003610761,0.00008358443,0.00009060967],"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":[0.0001823082,0.00009441742,0.009009984,0.00002390673,0.0001537946,0.00007759547,0.00002550745,0.9878457,0.001289128,0.0003307545,0.000366612,0.0006003006],"study_design_scores_gemma":[0.0001275859,0.00008868022,0.00427379,0.000003542749,0.00005523895,0.000006526824,0.0000300701,0.9946228,0.0003839724,0.0002054407,0.0001860373,0.0000162725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940771,0.00008285017,0.00115825,0.0003124336,0.00004857425,0.00002344057,0.001012997,0.0001688708,0.003115522],"genre_scores_gemma":[0.9978903,0.00005093565,0.0006444746,0.00007502759,0.0000107706,0.00002476187,0.0007000144,0.00002308043,0.0005805952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105988,"threshold_uncertainty_score":0.2107422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404333818989959,"score_gpt":0.2998175914321489,"score_spread":0.259384209533153,"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."}}