{"id":"W4390988006","doi":"10.1039/d3ea00135k","title":"Oxidative potential of fine particulate matter emitted from traditional and improved biomass cookstoves","year":2024,"lang":"en","type":"article","venue":"Environmental Science Atmospheres","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Memorial University of Newfoundland; Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; Mount Allison University; New Brunswick Innovation Foundation; Canada Foundation for Innovation","keywords":"Particulates; Biomass burning; Environmental chemistry; Environmental science; Biomass (ecology); Chemistry; Waste management; Environmental engineering; Aerosol; Engineering; Biology; Ecology; Organic chemistry","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":[0.0001862915,0.0002219507,0.0001653915,0.00001307538,0.0002077629,0.00008085072,0.0002661934,0.00006978287,0.01630132],"category_scores_gemma":[0.000009641035,0.0001852016,0.00006313132,0.0002204582,0.002507881,0.0008476573,0.0002304812,0.0001165586,0.0005476563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765919,"about_ca_system_score_gemma":0.0000115841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004562492,"about_ca_topic_score_gemma":0.00002822414,"domain_scores_codex":[0.9981627,0.00003628704,0.0002595917,0.0006132167,0.000536149,0.0003920237],"domain_scores_gemma":[0.999417,0.00006443605,0.00007016119,0.0002307517,8.419591e-7,0.0002168282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002132136,0.0001162606,0.02936579,0.000004714937,0.00002453861,0.00001542279,0.0002854758,0.001523455,0.9643635,0.00003805476,0.0004746421,0.003766819],"study_design_scores_gemma":[0.0002524256,0.0001158406,0.7631683,0.00002331239,0.00003459916,0.00001341326,0.0001489907,0.006212613,0.2279584,0.001192676,0.0006277246,0.0002516239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997373,0.0003034612,0.0003835435,0.0002624528,0.00015821,0.000130267,0.00009189946,0.00003243272,0.001264705],"genre_scores_gemma":[0.9968902,0.00004112084,0.002277643,0.0001074822,0.00004105924,0.00001216623,0.00003256296,0.00001803477,0.0005797143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7364051,"threshold_uncertainty_score":0.9845979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00688180323643287,"score_gpt":0.1927951892819922,"score_spread":0.1859133860455593,"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."}}