{"id":"W2095014518","doi":"10.1016/j.atmosenv.2011.09.036","title":"Seasonal variation in the biogenic secondary organic aerosol tracer cis-pinonic acid: Enhancement due to emissions from regional and local biomass burning","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Science and Technology Directorate; Government of Canada; Australian Government","keywords":"Aerosol; Levoglucosan; Seasonality; Ozone; TRACER; Environmental science; Environmental chemistry; Atmospheric sciences; Biomass burning; Chemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002383349,0.0002407688,0.0002011795,0.000001422986,0.0002116206,0.00003669054,0.0002869587,0.000113819,0.02344658],"category_scores_gemma":[0.000008958918,0.0001813416,0.00005577982,0.0001879831,0.000124993,0.000143097,0.00004647124,0.0002238403,0.0002610995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003904774,"about_ca_system_score_gemma":0.00005986729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105649,"about_ca_topic_score_gemma":0.0001717006,"domain_scores_codex":[0.9983687,0.00009882246,0.0003086747,0.0005031349,0.0003501147,0.0003705087],"domain_scores_gemma":[0.9992872,0.0001060417,0.0001059109,0.0002973971,0.000004917923,0.0001984961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001010148,0.001419056,0.4472833,0.0001163406,0.0005769855,0.0005632179,0.03863359,0.003033735,0.286789,0.00006228244,0.003266353,0.2172461],"study_design_scores_gemma":[0.0007514536,0.0003015821,0.9800602,0.00004375333,0.00005627542,0.00004842883,0.001687383,0.003128099,0.008983012,0.0002495849,0.004192701,0.0004975204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978552,0.001391419,0.01847369,0.0004293856,0.00008222268,0.0002749074,0.00002602805,0.00001822716,0.0007520952],"genre_scores_gemma":[0.985754,0.0001653631,0.01303569,0.0006738841,0.0000875643,0.0000174704,0.00008368163,0.000008295784,0.0001741174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.532777,"threshold_uncertainty_score":0.9774461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242473057135734,"score_gpt":0.1813195769260802,"score_spread":0.1688948463547228,"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."}}