{"id":"W3117408321","doi":"10.1002/rcm.9040","title":"A sealed‐tube method for offline δ <sup>13</sup> C analysis of CO <sub>2</sub> via a Gas Bench II continuous‐flow isotope ratio mass spectrometer","year":2020,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Canada Research Chairs; American Chemical Society Petroleum Research Fund; National Science Foundation","keywords":"Chemistry; Analytical Chemistry (journal); Isotope-ratio mass spectrometry; Mass spectrometry; Sample preparation; Tube (container); Helium; Volumetric flow rate; Volume (thermodynamics); Chromatography; Materials science","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":[0.0008435273,0.001048274,0.0004819903,0.0006708381,0.0005233961,0.0005767895,0.001475898,0.0009269305,0.006040426],"category_scores_gemma":[0.0009201496,0.0006636515,0.0002677071,0.0003636447,0.0007894321,0.0006465187,0.0004623095,0.0009475969,0.005082899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140699,"about_ca_system_score_gemma":0.0007757073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005813809,"about_ca_topic_score_gemma":0.001415154,"domain_scores_codex":[0.9991352,0.0001195976,0.00005844857,0.0002123143,0.0004295565,0.0000449941],"domain_scores_gemma":[0.9993122,0.0001716913,0.00009060627,0.0001472536,0.0002338464,0.0000444531],"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":[0.00007945513,0.00004850644,0.0005512348,0.0001281626,0.00001139567,0.00005948247,0.00001742289,0.000178222,0.9892069,0.0003832775,0.0007387794,0.008597074],"study_design_scores_gemma":[0.0000120538,0.0001858244,0.001456519,0.0000123495,0.0000229797,0.0002891514,0.00001581136,0.002527608,0.9845276,0.0001728819,0.01075304,0.00002393908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1346828,0.002179716,0.8381394,0.0004835146,0.0004105962,0.002118782,0.003915455,0.008797158,0.009272646],"genre_scores_gemma":[0.2220967,0.001536866,0.757305,0.0004917103,0.0001638579,0.002122396,0.003217043,0.0008862825,0.01218022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006040426,"threshold_uncertainty_score":0.02020723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320509970021523,"score_gpt":0.2549592812921356,"score_spread":0.2417541815919204,"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."}}