{"id":"W4388747265","doi":"10.5194/egusphere-2023-2370","title":"Evaluation of CMIP6 model simulations of PM <sub>2.5</sub> and its components over China","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Ministry of the Environment, Government of Japan; National Natural Science Foundation of China; European Commission; National Aeronautics and Space Administration","keywords":"Coupled model intercomparison project; Environmental science; Particulates; Sulfate; Nitrate; Climatology; Climate model; Ammonium nitrate; Atmospheric sciences; Meteorology; Climate change; Chemistry; Geography; Physics; Geology","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":[0.001823701,0.002111784,0.0008451524,0.0007452687,0.0009084343,0.000926692,0.001897305,0.001816846,0.001542039],"category_scores_gemma":[0.002485724,0.0007283307,0.00140808,0.001070956,0.0007024154,0.0009643886,0.0007734984,0.001005352,0.0002820615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521158,"about_ca_system_score_gemma":0.002203356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1642861,"about_ca_topic_score_gemma":0.06201956,"domain_scores_codex":[0.9995363,0.0001600746,0.00003277429,0.0001031535,0.00007290535,0.00009480472],"domain_scores_gemma":[0.9987557,0.0004297761,0.0001051561,0.0001192076,0.0003894703,0.0002006925],"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":[0.0001727536,0.0001527074,0.02825619,0.00004807374,0.0001339536,0.000114859,0.00004612056,0.9665098,0.0008329899,0.0003386233,0.000919876,0.002474146],"study_design_scores_gemma":[0.0001051158,0.00006822997,0.007356373,0.000009271609,0.00003925605,0.00001155568,0.00004573366,0.9912456,0.0006936113,0.0001005416,0.0003086311,0.00001613017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943913,0.0001772608,0.0008839074,0.0003311108,0.00005328696,0.00002733196,0.001564811,0.0003199881,0.002250938],"genre_scores_gemma":[0.996376,0.00009629101,0.001028836,0.00006910506,0.00001258112,0.00002994511,0.001983051,0.00004363159,0.0003605488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642861,"threshold_uncertainty_score":0.3266597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129304687224706,"score_gpt":0.2685583886173517,"score_spread":0.2272653417451047,"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."}}