{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002402493,0.0008144192,0.0011861,0.0000134048,0.0001757361,0.00005606256,0.0007399778,0.0003799447,0.001656944],"category_scores_gemma":[0.0002242005,0.0007720196,0.0002515097,0.0011437,0.0007229762,0.0005581214,0.0006032943,0.0004368638,0.00005688908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603149,"about_ca_system_score_gemma":0.00004652674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337467,"about_ca_topic_score_gemma":0.0001558655,"domain_scores_codex":[0.993343,0.0004491128,0.001712237,0.001287954,0.002223459,0.0009842525],"domain_scores_gemma":[0.997614,0.0001162081,0.0005768021,0.00112165,0.0001070868,0.0004642947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002895095,0.001195966,0.4641933,0.0001153496,0.0001385164,0.00001006678,0.001562743,0.07964377,0.09661805,0.00002034811,0.001637169,0.3545752],"study_design_scores_gemma":[0.003185055,0.003129142,0.8122497,0.0007440657,0.0002508484,0.00002876217,0.002647558,0.08460202,0.08855467,0.0009496051,0.001526049,0.002132561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841249,0.0002052842,0.01009429,0.0001867431,0.00004293947,0.002047019,0.000008219668,0.0002319789,0.003058653],"genre_scores_gemma":[0.8610454,0.0001655221,0.1378967,0.0002151056,0.00002345421,0.0004752932,0.000008116472,0.00008894214,0.00008149155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3524427,"threshold_uncertainty_score":0.9994731,"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."}}