{"id":"W2042482931","doi":"10.1002/2014ms000346","title":"The Specified Chemistry Whole Atmosphere Community Climate Model (SC‐WACCM)","year":2014,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NOAA Research; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Atmosphere (unit); Climatology; Environmental science; Climate model; Ozone layer; Atmospheric sciences; Montreal Protocol; Stratosphere; Climate change; Meteorology; Oceanography; Geography; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002466714,0.0001909486,0.0004105995,0.000006170966,0.0004905664,0.0001792591,0.0006016815,0.00009168823,0.00003233275],"category_scores_gemma":[0.0001034528,0.0001230463,0.0001191938,0.0001673161,0.00008052796,0.0006740324,0.00002713102,0.0007472479,0.00003127462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133417,"about_ca_system_score_gemma":0.0000605777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648507,"about_ca_topic_score_gemma":0.0008194917,"domain_scores_codex":[0.9977664,0.0002801857,0.0009051586,0.0001383611,0.0004637379,0.0004461177],"domain_scores_gemma":[0.9984799,0.0003305749,0.0005475166,0.0003608906,0.0001483829,0.0001327361],"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":[0.0001029966,0.00001629111,0.008603224,0.00006783986,0.000009660287,0.000004816297,0.0001775996,0.9815711,0.0000372261,0.0000504049,0.00003369239,0.009325116],"study_design_scores_gemma":[0.0004121977,0.00008588788,0.0005237493,0.0002105638,0.000011209,0.00005754924,0.001885578,0.9877502,0.00001314176,0.001177119,0.007718157,0.0001546278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541122,0.01270687,0.01722584,0.00009212476,0.0008642955,0.0001184675,0.00001438167,0.00002229421,0.01484347],"genre_scores_gemma":[0.9929906,0.004073621,0.002351896,0.00004583249,0.0003188078,7.860394e-7,0.000005245521,0.000008911652,0.0002043154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03887834,"threshold_uncertainty_score":0.5017682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726354139095331,"score_gpt":0.2366000627830658,"score_spread":0.2193365213921125,"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."}}