{"id":"W1617633935","doi":"","title":"Lidar Measurements of Methane and Applications for Aircraft and Spacecraft","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Permafrost; Atmospheric methane; Greenhouse gas; Environmental science; Atmospheric sciences; Lidar; Atmosphere (unit); Climate change; Global warming; Carbon fibers; Absorption (acoustics); Remote sensing; Meteorology; Geology; Chemistry; Materials science; Geography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002438346,0.0001669326,0.0001848892,0.00000786618,0.00006933896,0.00002694432,0.0001488189,0.000107131,0.0001021534],"category_scores_gemma":[0.00002231352,0.0001558681,0.00003380078,0.00005892116,0.000273539,0.0001757109,0.0001224198,0.0001313419,0.00001507839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000234173,"about_ca_system_score_gemma":0.00001578447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002409418,"about_ca_topic_score_gemma":0.0002840012,"domain_scores_codex":[0.9989538,0.00001368095,0.0002339588,0.0003363819,0.0002187683,0.0002434799],"domain_scores_gemma":[0.9994277,0.00003895358,0.0001356957,0.0002112512,0.00001300525,0.0001733676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001886507,0.0001077721,0.0608763,0.00002249698,0.00002186972,7.013975e-7,0.000120529,0.001515996,0.8935778,0.0004253038,0.00005564383,0.04325671],"study_design_scores_gemma":[0.001123801,0.0002392385,0.8818049,0.00001477192,0.00009196757,0.00002431169,0.000202935,0.00285342,0.09541021,0.002726214,0.01490742,0.0006007862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847599,0.00002526706,0.01100181,0.0003015344,0.00006133218,0.000455447,0.00000698993,0.00001875785,0.003368916],"genre_scores_gemma":[0.91581,0.00003082612,0.0832234,0.00008514632,0.00004616135,0.00007662998,0.000007508088,0.0000145957,0.0007057395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8209286,"threshold_uncertainty_score":0.6356115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968344721985343,"score_gpt":0.2466990179570432,"score_spread":0.2270155707371898,"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."}}