{"id":"W4392737473","doi":"10.1093/mnras/stae741","title":"3D simulations of TRAPPIST-1e with varying CO2, CH4, and haze profiles","year":2024,"lang":"en","type":"preprint","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Science and Technology Facilities Council; Natural Environment Research Council; Met Office; University of Leicester; Leverhulme Trust; Nuclear Safety and Security Commission; UK Research and Innovation; University of Exeter; British Interplanetary Society; National Aeronautics and Space Administration","keywords":"Haze; Atmospheric sciences; Atmosphere (unit); Troposphere; Planet; Methane; Carbon dioxide; Daytime; Environmental science; Wind speed; Vortex; Surface layer; Water vapor; Greenhouse gas; Layer (electronics); Materials science; Chemistry; Astrophysics; Meteorology; 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":[0.0002851879,0.0007190926,0.0008683056,0.0004882311,0.0007995878,0.00100925,0.001206386,0.001788978,0.003754796],"category_scores_gemma":[0.00136593,0.0004267214,0.001148991,0.0006557023,0.0009417897,0.0005733318,0.0007049012,0.001284831,0.0002688999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242401,"about_ca_system_score_gemma":0.001255234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04711424,"about_ca_topic_score_gemma":0.02570609,"domain_scores_codex":[0.9998326,0.00003611496,0.000005922063,0.0000262288,0.00003426478,0.00006487966],"domain_scores_gemma":[0.9992944,0.0003244572,0.00005703709,0.00004367184,0.0001238973,0.0001564692],"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":[0.000116218,0.00008810726,0.003343745,0.00002218136,0.0000375217,0.0001419652,0.00003346676,0.9936598,0.001050762,0.000562182,0.0003668347,0.0005773069],"study_design_scores_gemma":[0.00007685976,0.00005315514,0.00149623,0.000004886028,0.0000110169,0.00001220534,0.00004896077,0.9974692,0.000373443,0.0001888934,0.0002540244,0.00001113994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989382,0.00008093302,0.001659909,0.0002749507,0.00004677977,0.00003263497,0.001271744,0.0001770976,0.007073855],"genre_scores_gemma":[0.996116,0.00005123483,0.001554738,0.00007434029,0.00001222954,0.00004532182,0.001183063,0.00004492638,0.0009179739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04711424,"threshold_uncertainty_score":0.09368002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006034044796831664,"score_gpt":0.1899095145695083,"score_spread":0.1838754697726767,"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."}}