{"id":"W4252009365","doi":"10.5194/acp-2017-1143","title":"Quantifying the effect of mixing on the mean Age of Air in CCMVal-2 and CCMI-1 models","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Scheme for Promotion of Academic and Research Collaboration; Bundesministerium für Bildung und Forschung; Deutsches Klimarechenzentrum","keywords":"Mixing (physics); Advection; Residual; Environmental science; Atmospheric sciences; Atmospheric circulation; Scale (ratio); Mixing ratio; Climatology; Chemistry; Meteorology; Mathematics; Physics; Geology; Thermodynamics","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":[0.00275419,0.001079271,0.0007903641,0.0007219799,0.0006478949,0.001232448,0.001807853,0.001099798,0.001096142],"category_scores_gemma":[0.004599147,0.0004362003,0.001413671,0.0006796925,0.0004925834,0.0009422429,0.0008740687,0.001127995,0.0001649547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772789,"about_ca_system_score_gemma":0.001311871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06067555,"about_ca_topic_score_gemma":0.03284434,"domain_scores_codex":[0.9994735,0.0002122672,0.00003600513,0.0001130337,0.00007275506,0.00009242057],"domain_scores_gemma":[0.9974481,0.001374652,0.0002539839,0.0002978369,0.0003737244,0.0002517278],"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":[0.0003788787,0.0001574434,0.05064065,0.00009688058,0.0003593592,0.00007387788,0.00009878149,0.9388655,0.003498302,0.001809747,0.001229208,0.002791264],"study_design_scores_gemma":[0.00008953888,0.000087218,0.01339461,0.000009076994,0.00005699558,0.00001481399,0.00003925712,0.9838652,0.001476459,0.0004307981,0.0005072249,0.00002875568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911912,0.0001196016,0.002328973,0.0002633725,0.0000320169,0.00003308814,0.002686994,0.0003264662,0.003018278],"genre_scores_gemma":[0.994741,0.00004016127,0.002592883,0.0000605582,0.00001291749,0.00004927485,0.002149167,0.00009312866,0.0002609366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06067555,"threshold_uncertainty_score":0.1206448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467582266289563,"score_gpt":0.2701653285416477,"score_spread":0.215489505878752,"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."}}