{"id":"W4396608921","doi":"10.1021/acsestair.4c00039","title":"Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements","year":2024,"lang":"en","type":"article","venue":"ACS ES&T Air","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Pollutant; Environmental science; Particle (ecology); Gas phase; Atmospheric sciences; Air pollutants; Phase (matter); Environmental chemistry; Air pollution; Chemistry; Physics; Geology; Thermodynamics; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008926349,0.00012859,0.000172823,0.000004047481,0.00007508616,0.00004535547,0.0001352689,0.00006522206,0.002540828],"category_scores_gemma":[0.00003249842,0.0001093599,0.00002699593,0.0003383095,0.00005671833,0.0001880667,0.00001412715,0.0001080136,0.0000630798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001503741,"about_ca_system_score_gemma":0.0001442155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04906064,"about_ca_topic_score_gemma":0.2299282,"domain_scores_codex":[0.9990402,0.00003098122,0.0002076223,0.0002588854,0.0001674099,0.0002948793],"domain_scores_gemma":[0.9995543,0.00004987596,0.00003312189,0.000134823,0.00001361772,0.0002141967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007864507,0.0000889965,0.929468,0.00005449661,0.0001142399,0.0002659721,0.003963219,0.00009716615,0.03485072,0.000009096771,0.0002468054,0.03076266],"study_design_scores_gemma":[0.003536629,0.0004025118,0.7762918,0.0005889341,0.0001261349,0.00003963971,0.002059062,0.03698395,0.169475,0.00188421,0.007704291,0.0009077819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947612,0.004050709,0.000014323,0.0002441455,0.00009962576,0.00008503728,0.0001389383,0.00002956762,0.0005765068],"genre_scores_gemma":[0.9994397,0.0000402748,0.0001063539,0.0001828252,0.00005387956,7.450854e-7,0.00002224383,0.000005372047,0.0001486658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808675,"threshold_uncertainty_score":0.998371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623667849420046,"score_gpt":0.2164742722479253,"score_spread":0.2002375937537249,"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."}}