{"id":"W3185589235","doi":"10.5194/amt-14-6723-2021","title":"Estimates of mass absorption cross sections of black carbon for filter-based absorption photometers in the Arctic","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Japan Society for the Promotion of Science; European Metrology Programme for Innovation and Research; Norsk Polarinstitutt; Horizon 2020; Academy of Finland; Environmental Restoration and Conservation Agency","keywords":"Photometer; Absorption (acoustics); Soot; Aerosol; Environmental science; Sun photometer; Mass concentration (chemistry); Remote sensing; Atmospheric sciences; Chemistry; Physics; Meteorology; Optics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059279,0.001039654,0.0004793847,0.002352282,0.001014918,0.0008342993,0.0008827086,0.0006947831,0.0007527615],"category_scores_gemma":[0.001512301,0.0004270668,0.0008721211,0.00150121,0.0002521822,0.0005648042,0.0006266706,0.0005352076,0.0007052385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144804,"about_ca_system_score_gemma":0.001320488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779188,"about_ca_topic_score_gemma":0.06232454,"domain_scores_codex":[0.9983844,0.0002275674,0.00005762471,0.0004901609,0.0007574651,0.00008290444],"domain_scores_gemma":[0.998808,0.0001408803,0.0001987551,0.0001109367,0.0006951884,0.0000462348],"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":[0.0006513051,0.0002236607,0.5357649,0.0007459879,0.001426164,0.0002331475,0.0006472718,0.02032543,0.3080436,0.002039073,0.00196566,0.1279338],"study_design_scores_gemma":[0.00005630145,0.0002533016,0.5954894,0.000242607,0.000807351,0.0004883363,0.0004101293,0.09309742,0.2883043,0.00103667,0.01967273,0.0001414196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7899177,0.003339791,0.1904569,0.0000964455,0.0001897967,0.000188251,0.004314919,0.00154521,0.009950914],"genre_scores_gemma":[0.8813698,0.001368355,0.1120396,0.0001250394,0.00006060494,0.0002217018,0.002667397,0.0002999097,0.001847591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04779188,"threshold_uncertainty_score":0.09502739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541563460010262,"score_gpt":0.2562034419476601,"score_spread":0.2207878073475575,"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."}}