{"id":"W4230430800","doi":"10.5194/amtd-3-3199-2010","title":"MAMAP – a new spectrometer system for column-averaged methane and carbon dioxide observations from aircraft: instrument description and performance assessment","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara; Goddard Space Flight Center; National Oceanic and Atmospheric Administration; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Universität Bremen; Freie Hansestadt Bremen; National Aeronautics and Space Administration; Freie Universität Berlin; Transport Canada; Vattenfall; National Science Foundation","keywords":"Remote sensing; Spectrometer; Environmental science; Spectral resolution; Methane; Image resolution; Greenhouse gas; Nadir; Imaging spectrometer; Trace gas; Absorption (acoustics); Satellite; Optics; Meteorology; Spectral line; Physics; Geology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553323,0.001039698,0.0004670239,0.0008955158,0.0003294789,0.0006469128,0.001152609,0.0006749848,0.002279985],"category_scores_gemma":[0.001028044,0.0004043142,0.0004272283,0.0008397555,0.00008773394,0.001015746,0.0005338266,0.0007512018,0.001428853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389296,"about_ca_system_score_gemma":0.0005217014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313062,"about_ca_topic_score_gemma":0.003449539,"domain_scores_codex":[0.9994293,0.00008383897,0.00003624508,0.0001264322,0.000277111,0.00004711968],"domain_scores_gemma":[0.9992862,0.00009173008,0.00008790782,0.000155222,0.0003052274,0.00007373011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002309449,0.0005723673,0.06770454,0.000783966,0.0006596146,0.000347841,0.0002427602,0.02322114,0.500091,0.002069269,0.06579398,0.3362041],"study_design_scores_gemma":[0.000584217,0.001726226,0.2356486,0.0001440747,0.0002900412,0.0008210266,0.0001294734,0.3645102,0.2253225,0.001418175,0.1690609,0.0003445609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3687959,0.003954466,0.4186248,0.0006290595,0.0006667529,0.00212801,0.1209778,0.06665507,0.01756814],"genre_scores_gemma":[0.4257065,0.0007457915,0.4119045,0.0003768638,0.0002032778,0.001965685,0.1507209,0.001657767,0.006718558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003313062,"threshold_uncertainty_score":0.008214891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889142656211164,"score_gpt":0.2101423107098434,"score_spread":0.1912508841477318,"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."}}