{"id":"W2050058313","doi":"10.1080/02786820300895","title":"Evaluation of Elemental and Black Carbon Measurements from the GAViM and IMPROVE Networks","year":2003,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph","funders":"","keywords":"Aerosol; Absorption (acoustics); Attenuation coefficient; Chemistry; Carbon fibers; Analytical Chemistry (journal); Gravimetric analysis; Carbon black; Mass attenuation coefficient; Optics; Environmental chemistry; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023705,0.0000790409,0.0001107088,0.0000472403,0.000177418,0.00003419258,0.0001179091,0.00003671536,0.00001881491],"category_scores_gemma":[0.00003753446,0.00005631172,0.00001081768,0.0004204445,0.00102576,0.00009615609,0.0000614301,0.00009024927,3.118182e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001599783,"about_ca_system_score_gemma":0.00007017051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002987669,"about_ca_topic_score_gemma":0.00007405598,"domain_scores_codex":[0.9990745,0.00003270324,0.0001188788,0.0002579546,0.0003316258,0.0001843844],"domain_scores_gemma":[0.9995339,0.00001792239,0.00007450399,0.0001729122,0.0001702205,0.00003052592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004257645,0.00005256185,0.6149521,0.000001496219,0.00007617129,1.214093e-7,0.0002409861,0.00001295646,0.3344315,0.007345942,0.00002321734,0.04285861],"study_design_scores_gemma":[0.002045317,0.0003540998,0.03093094,0.00004355536,0.0007645432,0.000001561018,0.006520784,0.05003949,0.8775129,0.031325,0.00005631614,0.0004055272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982018,0.0002916739,0.000156598,0.0002909912,0.0000327749,0.0001608088,0.000003467927,0.000006739426,0.0008550923],"genre_scores_gemma":[0.9998084,0.00002705693,0.00009901035,0.00002758431,0.00001806576,0.00001229503,0.000001355424,0.000002530728,0.000003669481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5840212,"threshold_uncertainty_score":0.3779457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587488581331775,"score_gpt":0.2633710060593608,"score_spread":0.2474961202460431,"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."}}