{"id":"W2065427685","doi":"10.1021/es304351p","title":"Characterization of Ultrafine Particulate Matter from Traditional and Improved Biomass Cookstoves","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Particulates; Ultrafine particle; Environmental science; Biomass (ecology); Characterization (materials science); Waste management; Chemistry; Materials science; Engineering; Nanotechnology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764474,0.0002316537,0.0001948102,0.0007324224,0.0002397218,0.0003614043,0.0002563352,0.0003614648,0.0003833057],"category_scores_gemma":[0.0003374696,0.0001262243,0.0002975681,0.000287449,0.0001911809,0.0002795119,0.0002292484,0.0002448749,0.0001335361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616396,"about_ca_system_score_gemma":0.000116774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220001,"about_ca_topic_score_gemma":0.003445333,"domain_scores_codex":[0.9997713,0.00001355779,0.00001508234,0.00006991038,0.0001042098,0.00002599963],"domain_scores_gemma":[0.9997888,0.00004165645,0.0000314445,0.00001651201,0.0001004322,0.00002108537],"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":[0.0002602439,0.00005048297,0.03273575,0.00008939367,0.00004685652,0.000126773,0.0001954632,0.0005065371,0.9586758,0.00007323091,0.00003469729,0.007204856],"study_design_scores_gemma":[0.00001586887,0.0006492122,0.4516746,0.00002120181,0.00008367794,0.0005306083,0.0004328215,0.002891692,0.5421918,0.00008957902,0.001398792,0.00002007478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980199,0.0001514678,0.001426743,0.000003842177,0.000002485641,0.0000101502,0.000156615,0.000007271117,0.000221422],"genre_scores_gemma":[0.9943679,0.0002716134,0.003974419,0.00003190215,0.000004577002,0.00002207556,0.0006131672,0.00001882595,0.0006954306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00220001,"threshold_uncertainty_score":0.004374385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00525113613325582,"score_gpt":0.1665916267053451,"score_spread":0.1613404905720893,"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."}}