{"id":"W4401360795","doi":"10.22541/essoar.172296000.08268655/v1","title":"Comparing Near-Simultaneous OCO-3 and EMIT Observations of CO2 Point Sources from the ISS","year":2024,"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":"University of Toronto; Environment and Climate Change Canada","funders":"Nuclear Safety and Security Commission; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Environmental science; Point source; Plume; Observatory; Greenhouse gas; Remote sensing; Atmospheric sciences; Meteorology; Geology; Physics; Optics; Astrophysics","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":[0.0003891017,0.000522977,0.000304914,0.0006515603,0.0003711373,0.0004118071,0.0003720841,0.0004281989,0.0005068492],"category_scores_gemma":[0.0005367236,0.0001861429,0.0004764496,0.0009359987,0.0003030589,0.0004940527,0.000579351,0.000363426,0.0001633326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693712,"about_ca_system_score_gemma":0.0004752781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240474,"about_ca_topic_score_gemma":0.04558329,"domain_scores_codex":[0.999692,0.00001959402,0.00001060947,0.00009479164,0.0001165461,0.00006650979],"domain_scores_gemma":[0.9997196,0.00003944662,0.00005106047,0.00005239001,0.00009360207,0.00004398566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005611795,0.0002435491,0.8254094,0.000109938,0.0004647532,0.0003889995,0.0004603877,0.05966323,0.06641021,0.00081618,0.002235204,0.04323705],"study_design_scores_gemma":[0.00006088959,0.00008819374,0.9094267,0.00001968341,0.0001220305,0.0001404132,0.0002648497,0.06800248,0.01789513,0.0004052349,0.003533961,0.00004054496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939173,0.00008266394,0.002533187,0.00004154745,0.00001461494,0.00001021054,0.001154164,0.0001321751,0.002114192],"genre_scores_gemma":[0.9939787,0.00003869853,0.002678826,0.0000263251,0.00001315685,0.000008589113,0.002927501,0.0000358964,0.0002923227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240474,"threshold_uncertainty_score":0.04454863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864412657774305,"score_gpt":0.2127451360938976,"score_spread":0.1941010095161545,"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."}}