{"id":"W4295038019","doi":"10.1029/2021jd036105","title":"Using Ice Cores to Evaluate CMIP6 Aerosol Concentrations Over the Historical Era","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ice core; Aerosol; Coupled model intercomparison project; Environmental science; Sulfate; Climatology; Sulfate aerosol; Atmospheric sciences; Earth system science; Satellite; Meteorology; Climate change; Geology; Climate model; Oceanography; Geography; Chemistry","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":[0.0007287178,0.0004833127,0.0001402238,0.0008869316,0.0002355824,0.0004262245,0.0002353733,0.0002778065,0.0004324196],"category_scores_gemma":[0.0009742267,0.0001307804,0.0002983414,0.0008411867,0.0001130085,0.0004477213,0.0002196838,0.0001389793,0.0001278132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474861,"about_ca_system_score_gemma":0.0002316606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835849,"about_ca_topic_score_gemma":0.01768189,"domain_scores_codex":[0.9998755,0.00002443407,0.00001569482,0.00003328545,0.0000316698,0.00001929654],"domain_scores_gemma":[0.9994748,0.0001055446,0.0001527001,0.00004320181,0.0001769896,0.0000467245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002477174,0.00006749727,0.9712363,0.00003316838,0.0001419361,0.00005928369,0.00004724461,0.01642934,0.005212103,0.0001035733,0.0002343781,0.006187454],"study_design_scores_gemma":[0.00001178974,0.00009748579,0.9505561,0.00001095156,0.00005194305,0.00004196696,0.00009697727,0.03991811,0.008479977,0.0000836624,0.0006410485,0.00001004434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973173,0.00006831221,0.0004909978,0.000008149803,0.000006375957,0.000007219106,0.00148063,0.00001490826,0.0006061435],"genre_scores_gemma":[0.9969389,0.00004588129,0.0009293258,0.000006730322,0.000004767222,0.00001075879,0.001938389,0.000005434793,0.0001197491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01835849,"threshold_uncertainty_score":0.03650326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07577742875599434,"score_gpt":0.3397600826102677,"score_spread":0.2639826538542734,"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."}}