{"id":"W3209879032","doi":"10.1364/ais.2021.jw4d.3","title":"The Imaging FTS Concept for the Arctic Observing Mission","year":2021,"lang":"en","type":"article","venue":"OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"","keywords":"Arctic; Greenhouse gas; Remote sensing; Environmental science; The arctic; Satellite; Meteorology; Aerospace engineering; Geology; Geography; Engineering; Oceanography","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":[0.001088388,0.0006731761,0.0001934547,0.0007400989,0.0008904604,0.0009959063,0.0006500664,0.0006012119,0.004225672],"category_scores_gemma":[0.0005138965,0.0001457729,0.0002573313,0.0006004549,0.0004632257,0.001004329,0.0008866143,0.00113959,0.002003443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354755,"about_ca_system_score_gemma":0.002706015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006974841,"about_ca_topic_score_gemma":0.005558189,"domain_scores_codex":[0.999488,0.00005852645,0.0000102384,0.0000664025,0.0002805379,0.00009615189],"domain_scores_gemma":[0.9996099,0.00001791426,0.00003501499,0.00004220964,0.0002026896,0.0000923265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000955826,0.0001794092,0.008483995,0.0003351574,0.00006269132,0.0003958353,0.0005934581,0.009484178,0.2358448,0.2175555,0.117431,0.4086782],"study_design_scores_gemma":[0.00009222684,0.0005226883,0.01083552,0.0001051825,0.00004414575,0.0006412456,0.0001868448,0.03025853,0.08835191,0.009960514,0.8588794,0.0001217927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08605956,0.006883132,0.5751822,0.004886239,0.004887125,0.001056181,0.0148659,0.009550625,0.296629],"genre_scores_gemma":[0.354953,0.004424815,0.5489726,0.001729473,0.002056974,0.0009287167,0.01592498,0.00133529,0.06967411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006974841,"threshold_uncertainty_score":0.01413625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009182218333563577,"score_gpt":0.221802608403467,"score_spread":0.2126203900699035,"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."}}