{"id":"W2171040908","doi":"10.5194/amt-6-2965-2013","title":"Method for the determination of concentration and stable carbon isotope ratios of atmospheric phenols","year":2013,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"BSTFA; Chemistry; Derivatization; Chromatography; Mass spectrometry; Gas chromatography; Isotope-ratio mass spectrometry; Extraction (chemistry); Solid phase extraction; Phenols; Analytical Chemistry (journal); Environmental chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002241555,0.001452428,0.0006925463,0.003904458,0.001134953,0.0004588519,0.001604064,0.00145376,0.006968872],"category_scores_gemma":[0.002441988,0.0007984541,0.000704225,0.001286846,0.0005177359,0.0006372562,0.0007997897,0.002040118,0.00512745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006376086,"about_ca_system_score_gemma":0.001831691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139252,"about_ca_topic_score_gemma":0.003725647,"domain_scores_codex":[0.995869,0.0007036353,0.0001829434,0.001003834,0.002093072,0.000147505],"domain_scores_gemma":[0.9981337,0.0005168226,0.0001733597,0.0003765186,0.0006808328,0.0001187102],"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":[0.0001312868,0.0001299449,0.001069727,0.0004560891,0.00008923189,0.0001655174,0.00007264195,0.000258175,0.945931,0.001702071,0.004145802,0.04584851],"study_design_scores_gemma":[0.000152523,0.0009166085,0.007790087,0.0001943197,0.0001499637,0.002039015,0.00007119423,0.008791389,0.8490562,0.00143575,0.1292688,0.0001341926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02741977,0.007054405,0.9423081,0.0003898202,0.001607418,0.002227781,0.003899439,0.004504162,0.01058907],"genre_scores_gemma":[0.09690948,0.005108294,0.8703406,0.0006422658,0.0002027079,0.004901575,0.003854027,0.0003619419,0.01767911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006968872,"threshold_uncertainty_score":0.02331322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239741124645084,"score_gpt":0.2376536000962737,"score_spread":0.2152561888498229,"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."}}