{"id":"W4388422167","doi":"10.5194/egusphere-2023-2424","title":"An improved and extended parameterization of the CO <sub>2</sub> 15 µm cooling in the middle/upper atmosphere","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":"York University","funders":"Agencia Estatal de Investigación","keywords":"Atmosphere (unit); Environmental science; Earth's energy budget; Volume (thermodynamics); Radiative transfer; Range (aeronautics); Meteorology; Climate model; Radiative cooling; Thermal; Line (geometry); Atmospheric sciences; Physics; Mathematics; Materials science; Thermodynamics; Geology; Climate change; Geometry; Radiation","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":[0.0006413528,0.001102057,0.0006147657,0.0004205442,0.0003645259,0.0009554765,0.001267513,0.0008463411,0.002163629],"category_scores_gemma":[0.001189292,0.0003260367,0.0009818756,0.0004705106,0.0002594445,0.001025735,0.0006095468,0.0009341963,0.0006181944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006367511,"about_ca_system_score_gemma":0.0008746448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807784,"about_ca_topic_score_gemma":0.007629026,"domain_scores_codex":[0.9997689,0.00005470178,0.0000158209,0.00007175213,0.00005633576,0.00003242816],"domain_scores_gemma":[0.9995844,0.0001111946,0.0000372566,0.0001134956,0.0001292425,0.00002438438],"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":[0.0001298052,0.00009972501,0.01431609,0.000103695,0.0001062019,0.0001185096,0.0000689873,0.934558,0.02481238,0.002133858,0.001807235,0.02174549],"study_design_scores_gemma":[0.00004009978,0.0000258897,0.005339525,0.000009591805,0.0000253064,0.00002316503,0.00001330793,0.9834663,0.006405539,0.000649865,0.003968757,0.00003246655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5739967,0.0006189941,0.3959977,0.0003369117,0.000250926,0.0003263134,0.007238027,0.005201536,0.01603291],"genre_scores_gemma":[0.9436152,0.0001285443,0.04931099,0.00009931606,0.0000478689,0.0002225904,0.00430357,0.0006410509,0.001630845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01807784,"threshold_uncertainty_score":0.03594524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590221546364691,"score_gpt":0.2221051494827915,"score_spread":0.2062029340191446,"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."}}