{"id":"W2162119430","doi":"10.5194/amt-7-2907-2014","title":"Derivation of tropospheric methane from TCCON CH <sub>4</sub> and HF total column observations","year":2014,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency; Jet Propulsion Laboratory; Australian Research Council; National Oceanic and Atmospheric Administration; Biological and Environmental Research; European Commission; Office of Science; California Institute of Technology; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Stratosphere; Troposphere; Atmospheric sciences; Environmental science; Methane; Water column; Climatology; Chemistry; Physics; Geology","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":[0.0001825037,0.0004627903,0.0001437203,0.0006857226,0.0003466033,0.0004088731,0.0004044977,0.0003169484,0.001188692],"category_scores_gemma":[0.001018491,0.0003077307,0.0004103506,0.0007070575,0.00009680816,0.000342198,0.0002646791,0.0003194928,0.0004452299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428357,"about_ca_system_score_gemma":0.001730548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2140643,"about_ca_topic_score_gemma":0.1686286,"domain_scores_codex":[0.9998901,0.00001209105,0.000005803739,0.00002113964,0.00004989673,0.00002091351],"domain_scores_gemma":[0.9998186,0.00003373668,0.00002304735,0.00001679683,0.00009336679,0.00001452885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002317356,0.0001702247,0.1999602,0.0002642735,0.000371648,0.001047292,0.0002377637,0.5611448,0.06948265,0.008310508,0.01254045,0.1462384],"study_design_scores_gemma":[0.00003013081,0.00002236922,0.1343365,0.00003076631,0.00004536034,0.00007145703,0.00004216604,0.8457103,0.01123239,0.0008989166,0.007540673,0.00003898874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8308818,0.0005666863,0.1262668,0.0003264709,0.0002545465,0.0001864408,0.02364606,0.00229303,0.01557823],"genre_scores_gemma":[0.9461166,0.0002513675,0.03796097,0.00008001593,0.00003706629,0.00009214204,0.01277765,0.0001576074,0.002526449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2140643,"threshold_uncertainty_score":0.4256365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147198946257814,"score_gpt":0.1931512441755879,"score_spread":0.1784313495498065,"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."}}