{"id":"W4416392318","doi":"10.5194/egusphere-2025-5569","title":"Evaluation of Calibration Strategies for Accurate δ <sup>13</sup> CH <sub>4</sub> Measurements in Dry and Humid Air","year":2025,"lang":"","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Calibration; Water vapor; Methane; Range (aeronautics); Calibration curve; Work (physics)","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":[0.005136123,0.00113982,0.0003485021,0.0007995086,0.0004874643,0.0006070348,0.001592831,0.001018889,0.001038033],"category_scores_gemma":[0.006774093,0.0005114468,0.0004204443,0.0005771745,0.0005242282,0.000855793,0.0009946376,0.0007835758,0.0005784599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580959,"about_ca_system_score_gemma":0.0007255172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178633,"about_ca_topic_score_gemma":0.006649205,"domain_scores_codex":[0.9976537,0.0004375248,0.00009471283,0.0005695134,0.001144926,0.00009970476],"domain_scores_gemma":[0.9972052,0.001042502,0.0003179919,0.0002966841,0.001078967,0.00005864346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005345105,0.0002794167,0.01964091,0.0005112855,0.0001608405,0.0000778285,0.0002765704,0.01045152,0.8947966,0.001092956,0.00073534,0.07144219],"study_design_scores_gemma":[0.00004540185,0.0005396066,0.01038151,0.00004153335,0.00007363826,0.0001248249,0.0001066952,0.03988152,0.9448709,0.0002304733,0.003657629,0.00004630765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6750206,0.002058051,0.315731,0.0003767099,0.0002184765,0.0007448655,0.0008439104,0.001942431,0.003064127],"genre_scores_gemma":[0.7212494,0.0006898837,0.2752999,0.0003326914,0.00003011062,0.0005019645,0.0005779411,0.0002312146,0.001086864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005136123,"threshold_uncertainty_score":0.02716273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316284235605008,"score_gpt":0.2684172573199437,"score_spread":0.2367888337594429,"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."}}