{"id":"W4239989927","doi":"10.5194/amtd-8-1365-2015","title":"A method for stable carbon isotope ratio and concentration measurements of ambient aromatic hydrocarbons","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cartridge; Isotope-ratio mass spectrometry; Thermal desorption; Environmental chemistry; Isotopes of carbon; Carbon fibers; Chemistry; Isotope analysis; Adsorption; Gas chromatography; Mass spectrometry; Desorption; Combustion; Isotope; Analytical Chemistry (journal); Environmental science; Total organic carbon; Chromatography; Materials science; Organic chemistry; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201775,0.001090996,0.0007218812,0.00337555,0.0009049864,0.0005230638,0.001210865,0.001246731,0.005189339],"category_scores_gemma":[0.001505068,0.0008255658,0.000730986,0.00136075,0.0005452101,0.0007808104,0.0008891099,0.001748223,0.00534076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282198,"about_ca_system_score_gemma":0.001076908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223691,"about_ca_topic_score_gemma":0.002945421,"domain_scores_codex":[0.9976155,0.0002785044,0.0001074872,0.000608423,0.001301811,0.00008835962],"domain_scores_gemma":[0.9990164,0.0001880734,0.00009675745,0.0002225359,0.0004004943,0.00007573893],"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":[0.00006932685,0.00004873359,0.0008430899,0.0002085787,0.00006973206,0.0001150277,0.00003046333,0.0001929722,0.9491587,0.001040282,0.002200628,0.04602245],"study_design_scores_gemma":[0.00005138994,0.0003123197,0.005162654,0.00004327388,0.00008941418,0.001952042,0.00003615544,0.005916449,0.9180849,0.00134549,0.06689454,0.0001113694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02048636,0.00456516,0.9588248,0.0002106762,0.0009582666,0.0006926081,0.002624355,0.004203409,0.007434279],"genre_scores_gemma":[0.1243517,0.004056769,0.8463666,0.0005383184,0.0002378947,0.002082272,0.003382663,0.0006177124,0.01836595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005189339,"threshold_uncertainty_score":0.01736003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04971130247101455,"score_gpt":0.2682112817305858,"score_spread":0.2184999792595713,"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."}}