{"id":"W4392928497","doi":"10.1080/02786826.2024.2316173","title":"Mass absorption cross section of black carbon for Aethalometer in the Arctic","year":2024,"lang":"en","type":"article","venue":"Aerosol Science and Technology","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","funders":"Academy of Finland","keywords":"Aethalometer; Absorption (acoustics); Atmospheric sciences; Photometer; Aerosol; Analytical Chemistry (journal); Environmental science; Chemistry; Carbon black; Environmental chemistry; Meteorology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005874908,0.00006500584,0.00008079526,0.00003536885,0.00008849543,0.00006645686,0.0002250329,0.00008960372,0.0000277041],"category_scores_gemma":[0.00009661292,0.00004274584,0.00001533541,0.001173547,0.001048199,0.0001580002,0.000009869698,0.0001254358,0.000003022979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006710933,"about_ca_system_score_gemma":0.00005520741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002320037,"about_ca_topic_score_gemma":0.000156205,"domain_scores_codex":[0.999257,0.000007718913,0.0001270633,0.0002442205,0.0001554121,0.0002085964],"domain_scores_gemma":[0.9996782,0.00009704818,0.00002935475,0.0001279845,0.00004880893,0.00001858458],"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":[0.00004996859,0.0000380597,0.4139108,0.0004153989,0.00001595523,0.00002121067,0.001267385,0.0004783337,0.5304444,0.002175269,0.00007457336,0.05110861],"study_design_scores_gemma":[0.001502056,0.001954022,0.1718906,0.0004437032,0.00007824882,0.0003877087,0.005861309,0.1319846,0.6091174,0.07316127,0.002568258,0.001050805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972408,0.0002807792,0.00009809056,0.0007666452,0.0001724805,0.0001503046,0.00000576491,0.00003249995,0.001252677],"genre_scores_gemma":[0.9995469,0.00003873273,0.0002596882,0.00003567557,0.000039231,0.000005424765,0.000002763482,0.000001279754,0.00007028802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2420202,"threshold_uncertainty_score":0.3862134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012020701635048,"score_gpt":0.2434503011175033,"score_spread":0.2314295994824553,"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."}}