{"id":"W2323729925","doi":"10.5194/acp-16-14703-2016","title":"The first 1-year-long estimate of the Paris region fossil fuel CO <sub>2</sub> emissions based on atmospheric inversion","year":2016,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"EIT Climate-KIC; Université de Versailles Saint-Quentin-en-Yvelines; Centre National de la Recherche Scientifique","keywords":"Inversion (geology); Environmental science; Fossil fuel; Atmospheric sciences; Transect; Spatial distribution; Wind speed; Wind direction; Air quality index; Meteorology; Geology; Geography; Oceanography; Chemistry; Remote sensing; Geomorphology","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":[0.0003805685,0.0005218447,0.0001760052,0.0005455215,0.0001891562,0.0004677093,0.0003076917,0.0003514209,0.001266458],"category_scores_gemma":[0.0008643586,0.0001895429,0.0002744418,0.0004262371,0.0001905112,0.0004030443,0.0002840683,0.0003830336,0.0004751885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428221,"about_ca_system_score_gemma":0.0006424283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03793529,"about_ca_topic_score_gemma":0.04887301,"domain_scores_codex":[0.9998726,0.00002928402,0.000004152557,0.00003258085,0.0000411424,0.00002025763],"domain_scores_gemma":[0.9997303,0.00005313457,0.00004411973,0.00005078964,0.00009936458,0.00002231212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007956497,0.0001598629,0.4258285,0.000222544,0.000585012,0.0007604077,0.0003019563,0.2439617,0.04372324,0.004594048,0.0121556,0.2669116],"study_design_scores_gemma":[0.00005635911,0.0001658935,0.5448232,0.00004603724,0.0001000849,0.0001490334,0.00009311234,0.4080542,0.02231309,0.001315922,0.02279252,0.00009052721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382144,0.0005754104,0.04382431,0.0002738695,0.00007078029,0.00005340072,0.006049664,0.001366411,0.00957172],"genre_scores_gemma":[0.9816365,0.00008998161,0.01424261,0.00002630232,0.0000341928,0.00001447193,0.003077104,0.00003876222,0.0008401434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03793529,"threshold_uncertainty_score":0.07542896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004297342696586731,"score_gpt":0.1845753659267689,"score_spread":0.1802780232301822,"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."}}