{"id":"W4416109181","doi":"10.5194/acp-25-15415-2025","title":"Variability in BVOC emissions and air quality impacts among urban trees in Montreal and Helsinki","year":2025,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Isoprene; Air quality index; Ozone; Urban park; Air pollution; Volatile organic compound; Pollutant; Urban forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512119,0.0003457695,0.0001504758,0.0008117387,0.0009254148,0.0008918386,0.0005164426,0.0002173609,0.001090932],"category_scores_gemma":[0.0003073933,0.0001357031,0.0002071279,0.001048704,0.0004649719,0.0002999711,0.0004133128,0.0001834981,0.0001345363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00557295,"about_ca_system_score_gemma":0.001766083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8102508,"about_ca_topic_score_gemma":0.9202727,"domain_scores_codex":[0.9997746,0.00001882364,0.00000465807,0.0000792491,0.00005811845,0.00006453737],"domain_scores_gemma":[0.9997558,0.00002329325,0.00004998909,0.00001114318,0.00009708732,0.00006269343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001643991,0.0000377029,0.9703194,0.00005032202,0.0001291932,0.0001702348,0.001210865,0.0009836892,0.01814313,0.0002427377,0.0006343202,0.007914093],"study_design_scores_gemma":[0.000001279168,0.000009558679,0.9983217,0.000003503694,0.00000876254,0.0000125229,0.0003106136,0.0003526199,0.0003487144,0.000009295405,0.0006160901,0.00000526557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972947,0.0001119691,0.0002296433,0.00001525895,0.000002432719,0.00001893214,0.001250715,0.0000125061,0.001063847],"genre_scores_gemma":[0.997579,0.00006132422,0.0003489042,0.00001290837,0.000001888252,0.00001439911,0.001207834,0.000005711405,0.0007680195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1897492,"threshold_uncertainty_score":0.3817334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006384965152406104,"score_gpt":0.223565710580504,"score_spread":0.2171807454280978,"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."}}