{"id":"W2130218598","doi":"10.1002/rcm.6406","title":"Nitrogen and triple oxygen isotopes in near‐road air samples using chemical conversion and thermal decomposition","year":2012,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada","funders":"International Atomic Energy Agency","keywords":"Chemistry; Nitrogen; Nitrite; Nitrate; Ammonia; Isotopes of nitrogen; Environmental chemistry; Ammonium nitrate; Ammonium; Analytical Chemistry (journal); Nitrous oxide; Decomposition; Isotope-ratio mass spectrometry; Mass spectrometry; Chromatography; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957897,0.000108571,0.0001584882,0.00002859251,0.0001608949,0.00003724932,0.0002566725,0.000080981,0.0003231172],"category_scores_gemma":[0.00002852603,0.0001074825,0.00002350321,0.0003402283,0.0001985072,0.000274214,0.00006981314,0.0002209972,0.000005843595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002253219,"about_ca_system_score_gemma":0.00001858307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000720472,"about_ca_topic_score_gemma":0.00004629961,"domain_scores_codex":[0.9992124,0.0001087066,0.0001965997,0.0001462148,0.00008794541,0.0002481336],"domain_scores_gemma":[0.9993198,0.0001798618,0.0000603651,0.0003474205,0.000008474411,0.00008409318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002827123,0.00005179319,0.9449503,0.00001643146,0.00001055593,6.703719e-7,0.0002904401,0.00006691235,0.05077203,0.00004401306,0.000006170791,0.003762383],"study_design_scores_gemma":[0.0006972213,0.00003150378,0.9581565,0.00004148931,0.00001651976,0.00003486263,0.0007391105,0.02735776,0.01181336,0.0005097177,0.0003537521,0.0002481728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926108,0.005943906,0.00008461478,0.0002500013,0.00002438353,0.0001207736,0.00001552944,0.00001723072,0.0009327233],"genre_scores_gemma":[0.9500684,0.0006602518,0.04909512,0.00005623919,0.00002988099,0.000002048983,0.00007996938,0.000003545772,0.000004504624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0490105,"threshold_uncertainty_score":0.4383009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494983368221095,"score_gpt":0.2600407115162878,"score_spread":0.2350908778340769,"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."}}