{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004766415,0.0001719182,0.0001435127,0.0004697113,0.0006191585,0.001108224,0.0003554113,0.0004169022,0.002056492],"category_scores_gemma":[0.0006171113,0.00007106588,0.0002325673,0.0003616554,0.0005871419,0.0006311267,0.0008789871,0.0002590797,0.0001576368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805281,"about_ca_system_score_gemma":0.0009137435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004011873,"about_ca_topic_score_gemma":0.01704865,"domain_scores_codex":[0.9997258,0.000122374,0.00000447248,0.0000202113,0.00005419973,0.00007292537],"domain_scores_gemma":[0.9995739,0.00009973113,0.0001191791,0.00002973164,0.00009782529,0.00007962262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006912649,0.0004935552,0.4123375,0.001820358,0.0004253927,0.001637677,0.002893081,0.02708639,0.1004229,0.03937648,0.003742506,0.4090729],"study_design_scores_gemma":[0.00005233908,0.002337907,0.7870497,0.000818308,0.0003651072,0.001109441,0.01669461,0.01054651,0.0188238,0.03217831,0.1299457,0.00007824328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459671,0.007152129,0.00628672,0.004591867,0.0001125839,0.00005314314,0.0002153182,0.00006648825,0.03555459],"genre_scores_gemma":[0.9961783,0.00134174,0.001561525,0.0001453456,0.00002630607,0.000007142754,0.00003005979,0.000004214663,0.000705363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004011873,"threshold_uncertainty_score":0.007977009,"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."}}