{"id":"W3093773883","doi":"10.29173/topo28","title":"The Potential for Urban Vegetation to Mitigate Ambient Air Pollution Threats to Public Health","year":2020,"lang":"en","type":"article","venue":"Topophilia","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Air pollution; Pollutant; Vegetation (pathology); Air quality index; Pollution; Particulates; Environmental protection; Ozone; Environmental engineering; Geography; Meteorology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006050357,0.0001033663,0.0001210111,0.0000179631,0.0006026837,0.00004577232,0.0002016524,0.00003902019,0.00006370871],"category_scores_gemma":[0.0001549533,0.00008206812,0.00004934983,0.0002621302,0.00005108055,0.0001483895,0.00009556158,0.00007690918,0.0007109518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002929854,"about_ca_system_score_gemma":0.00005977873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002139013,"about_ca_topic_score_gemma":0.0003562436,"domain_scores_codex":[0.9985548,0.00008757933,0.0002619497,0.0002817336,0.0002922963,0.0005216603],"domain_scores_gemma":[0.9988691,0.00002638823,0.00007394149,0.0001836241,0.00001269915,0.0008342245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004502784,0.0002040894,0.001597766,0.0001893892,0.00002753797,0.000003260032,0.02987687,0.02463691,0.003141216,0.01520746,0.4995156,0.4251496],"study_design_scores_gemma":[0.0007460415,0.002006758,0.3819726,0.00002792182,0.000009843573,0.000002812337,0.0005273252,0.007001635,0.0006603242,0.007342594,0.5993522,0.000349977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1576687,0.00009087795,0.01964488,0.8204989,0.0002716512,0.001318873,0.0000231179,0.00007238153,0.0004106496],"genre_scores_gemma":[0.8903447,0.00001074053,0.001162539,0.1078779,0.0002053598,0.00006047858,0.000009803164,0.00001068428,0.0003177403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7326761,"threshold_uncertainty_score":0.9138085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06120307076733202,"score_gpt":0.3175166188526981,"score_spread":0.256313548085366,"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."}}