{"id":"W2076290332","doi":"10.5194/amt-6-1685-2013","title":"Maintaining consistent traceability in high-precision isotope measurements of CO <sub>2</sub> : a way to verify atmospheric trends of δ <sup>13</sup> C and δ <sup>18</sup> O","year":2013,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; International Atomic Energy Agency; Commonwealth Scientific and Industrial Research Organisation","keywords":"Traceability; Environmental science; Isotope; δ18O; Stable isotope ratio; Atmospheric sciences; Geology; Physics; Computer science; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003633529,0.0004830781,0.0003920098,0.001236777,0.0008822776,0.001475116,0.001169577,0.00102589,0.0008465557],"category_scores_gemma":[0.005153204,0.0004309821,0.0003285153,0.001500469,0.0008356033,0.001840998,0.001175197,0.0008842676,0.000592521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171766,"about_ca_system_score_gemma":0.001273077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038737,"about_ca_topic_score_gemma":0.00995528,"domain_scores_codex":[0.9977551,0.0002939783,0.000127432,0.0004992085,0.001216903,0.0001074924],"domain_scores_gemma":[0.9938698,0.0008300853,0.0008868398,0.001545302,0.00270644,0.0001616202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004064793,0.0001908589,0.09656981,0.0003499836,0.0001114493,0.0001953703,0.0004974336,0.003634013,0.7175841,0.003257864,0.001710428,0.1754922],"study_design_scores_gemma":[0.00004363016,0.0004764129,0.1026615,0.00009062893,0.0001151091,0.0005375066,0.0004761175,0.02308598,0.8471556,0.003691582,0.0215471,0.0001187549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5715717,0.001596647,0.4132477,0.0007181767,0.0004157849,0.0002196733,0.001394483,0.001739704,0.009096166],"genre_scores_gemma":[0.8407111,0.0003860046,0.1557263,0.0002558475,0.00005579647,0.0001226446,0.0008853355,0.0002657723,0.001591172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0038737,"threshold_uncertainty_score":0.01921618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996223612768268,"score_gpt":0.2284206851670104,"score_spread":0.2084584490393277,"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."}}