{"id":"W3209808058","doi":"10.1002/essoar.10508457.1","title":"Global Atmospheric OCS Trend Analysis from 22 NDACC Stations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eurostars; Canadian Space Agency; Sorbonne Université; Environment and Climate Change Canada; Universität Bremen; Natural Sciences and Engineering Research Council of Canada; Civil Aviation Administration of China; Bundesministerium für Wirtschaft und Energie; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Office of Polar Programs; Conseil Régional, Île-de-France; Fonds De La Recherche Scientifique - FNRS; University of Toronto; Bundesministerium für Bildung und Forschung; National Oceanic and Atmospheric Administration; Deutsche Forschungsgemeinschaft; Ministry of Business, Innovation and Employment; Antarctica New Zealand; Fédération Wallonie-Bruxelles; National Aeronautics and Space Administration; National Science Foundation","keywords":"Electronic mail; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001991977,0.000508962,0.0002025017,0.002394939,0.0002906448,0.0004847703,0.0002336071,0.0001623681,0.002447867],"category_scores_gemma":[0.0003566696,0.0001493416,0.0003927328,0.004436182,0.00006421089,0.0002536729,0.0003324058,0.0001807683,0.0009902277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005693305,"about_ca_system_score_gemma":0.000693585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1039179,"about_ca_topic_score_gemma":0.1102555,"domain_scores_codex":[0.9998385,0.000007680351,0.00001257964,0.00006226162,0.00005397984,0.0000249297],"domain_scores_gemma":[0.9996456,0.00001722671,0.00006713299,0.00003477964,0.0002127399,0.00002260726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000207237,0.00009242704,0.8739858,0.0003965508,0.0004796847,0.0001957091,0.0003649633,0.006088017,0.01639773,0.000516843,0.0381803,0.06309468],"study_design_scores_gemma":[0.000009146039,0.00002096576,0.9712266,0.00001593758,0.00006058232,0.00003835782,0.0001228248,0.003600631,0.001757142,0.00003600849,0.02310008,0.00001172709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272315,0.0004134527,0.001305355,0.000111479,0.00006493253,0.00006365938,0.2575758,0.0008622347,0.01237165],"genre_scores_gemma":[0.5959565,0.0003505561,0.004066615,0.0000423538,0.00004792784,0.0001025207,0.3941018,0.0001052217,0.005226477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039179,"threshold_uncertainty_score":0.2066259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006761125363537393,"score_gpt":0.2233464968312512,"score_spread":0.2165853714677138,"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."}}