{"id":"W4231898378","doi":"10.5194/amt-2020-201","title":"Application of the ECT9 protocol for radiocarbon-based sourceapportionment of carbonaceous aerosols","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"University of California, Irvine; Environment and Climate Change Canada","keywords":"Aerosol; Radiocarbon dating; Carbon fibers; Fraction (chemistry); Isotopes of carbon; Total organic carbon; Environmental science; Environmental chemistry; Carbon black; Chemistry; Mass fraction; Mineralogy; Materials science; Chromatography; Archaeology; Organic chemistry; Geography","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":[0.002652806,0.001674013,0.0009970218,0.001672075,0.001452769,0.0007995417,0.00142043,0.001208223,0.008567799],"category_scores_gemma":[0.002433068,0.001217713,0.001340683,0.001214209,0.0008306424,0.0006218061,0.001596348,0.002399593,0.01165501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010565,"about_ca_system_score_gemma":0.001277684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165099,"about_ca_topic_score_gemma":0.002619314,"domain_scores_codex":[0.9975527,0.0005185522,0.0003293369,0.0007116381,0.0006141258,0.0002737445],"domain_scores_gemma":[0.9973636,0.000369545,0.0001462276,0.001076406,0.0009477767,0.00009632764],"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":[0.0002536893,0.00006776931,0.0007162855,0.0002498488,0.00003708292,0.0004131222,0.0001432902,0.0002576499,0.9790739,0.001017112,0.003255041,0.01451508],"study_design_scores_gemma":[0.00003714929,0.00030145,0.00304752,0.00005034915,0.00006880941,0.0005272992,0.00004151581,0.001178638,0.9180467,0.0004180878,0.07622552,0.00005693543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1476506,0.001748178,0.7893584,0.0003807008,0.0009057432,0.0103677,0.01822074,0.007641681,0.02372624],"genre_scores_gemma":[0.1685357,0.002492618,0.6889341,0.00103656,0.0002257375,0.02179265,0.06798974,0.004307326,0.04468561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008567799,"threshold_uncertainty_score":0.0286622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245964800627738,"score_gpt":0.2530418845560309,"score_spread":0.2284454044932571,"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."}}