{"id":"W4323662815","doi":"10.5194/amt-16-1239-2023","title":"Using portable low-resolution spectrometers to evaluate Total Carbon Column Observing Network (TCCON) biases in North America","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Jet Propulsion Laboratory; Nuclear Safety and Security Commission; University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Canada; Ontario Innovation Trust; Canada Foundation for Innovation; National Aeronautics and Space Administration; Environment and Climate Change Canada; California Institute of Technology; Canadian Foundation for Climate and Atmospheric Sciences; Connaught Fund; Ontario Research Foundation; Nova Scotia Research Innovation Trust","keywords":"Environmental science; Satellite; Trace gas; Greenhouse gas; Spectrometer; Atmospheric sciences; Column (typography); Meteorology; Remote sensing; Physics; Geology; Optics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009870222,0.0004002786,0.0004181551,0.00000842389,0.0002028913,0.0000512108,0.0003827663,0.0001069214,0.00036131],"category_scores_gemma":[0.0001026273,0.000429427,0.0001075678,0.002489545,0.0001476272,0.000242499,0.0004881195,0.0002202286,0.0001023074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002444961,"about_ca_system_score_gemma":0.00004027611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006517691,"about_ca_topic_score_gemma":0.001683074,"domain_scores_codex":[0.9961728,0.0001504449,0.0005766072,0.0007488382,0.001215612,0.001135741],"domain_scores_gemma":[0.9989703,0.00003691399,0.0002031117,0.0005271618,0.00001712314,0.0002453636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003400103,0.00008448477,0.2092929,0.00001084126,0.00002094267,0.00003342763,0.0001602878,0.7700236,0.009537196,0.000001007203,0.000646725,0.01015455],"study_design_scores_gemma":[0.0003288162,0.0003952244,0.3694339,0.0001909221,0.00006214914,0.00001017479,0.0003273994,0.6257007,0.0007550814,0.00008996853,0.001833657,0.0008719922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985624,0.00007675531,0.010794,0.000085683,0.000180064,0.001036438,0.000001951302,0.0005588575,0.001642319],"genre_scores_gemma":[0.8297911,0.0001225149,0.1691038,0.0003770235,0.0000791306,0.0002012082,0.00001323892,0.0000755592,0.0002364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601411,"threshold_uncertainty_score":0.9998158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427197729731185,"score_gpt":0.2511576080731179,"score_spread":0.206885630775806,"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."}}