{"id":"W2750807268","doi":"10.5194/acp-17-10143-2017","title":"CCl <sub>4</sub> distribution derived from MIPAS ESA v7 data: intercomparisons, trend, and lifetime estimation","year":2017,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Climate Program Office; Canadian Space Agency; National Oceanic and Atmospheric Administration; Commonwealth Scientific and Industrial Research Organisation; University of Bristol; European Space Agency; National Aeronautics and Space Administration","keywords":"Stratosphere; Troposphere; Atmospheric sciences; Atmospheric sounding; Environmental science; Altitude (triangle); Latitude; Ozone; Meteorology; Climatology; Geography; Physics; Geodesy; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009099152,0.0002327574,0.0002711679,7.336122e-8,0.0005589161,0.0003115265,0.0003507594,0.0001079642,0.0003280096],"category_scores_gemma":[0.00003899767,0.0002174662,0.00003523921,0.00005232372,0.0002409726,0.0006461673,0.0001001555,0.000169521,0.00004720287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006238467,"about_ca_system_score_gemma":0.00002837125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116479,"about_ca_topic_score_gemma":0.0001509077,"domain_scores_codex":[0.9988717,0.00002246091,0.0002143861,0.0004813784,0.0001519376,0.0002581652],"domain_scores_gemma":[0.9988429,0.0000893632,0.0002041172,0.0006800027,0.00001852951,0.000165084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006572164,0.00004413995,0.1120378,0.00005675737,0.00007024653,0.000009769324,0.0001513778,0.0003208179,0.004324941,0.000005096862,0.0009500347,0.8819633],"study_design_scores_gemma":[0.0007673862,0.0000443612,0.4157712,0.00007434649,0.0001593827,0.00001352986,0.0002123681,0.5636035,0.01531684,0.001144234,0.00239186,0.0005010365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920126,0.0007432818,0.005135747,0.000136077,0.00009253925,0.00007484025,0.0006675128,0.00004757634,0.001089789],"genre_scores_gemma":[0.9893256,0.0006164991,0.005293467,0.00004769528,0.0002728406,0.00000161237,0.00436375,0.000006938701,0.00007164006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8814623,"threshold_uncertainty_score":0.8868014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502159247025083,"score_gpt":0.2308531773131353,"score_spread":0.2158315848428845,"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."}}