{"id":"W3193482575","doi":"10.1289/isee.2021.p-193","title":"The influence of urban tree characteristics on environmental noise in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Health Canada; McGill University Health Centre; Carleton University; Université du Québec en Outaouais; Université du Québec à Montréal; Toronto Metropolitan University; Ottawa Public Health; Dalhousie University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Crown (dentistry); Noise (video); Tree (set theory); Environmental science; Normalized Difference Vegetation Index; Vegetation (pathology); Point cloud; Lidar; Statistics; Geography; Remote sensing; Physical geography; Mathematics; Ecology; Climate change; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000349669,0.00031326,0.0001889419,0.0007799687,0.001286471,0.001071947,0.0008198638,0.0002065583,0.001998329],"category_scores_gemma":[0.001273453,0.0001596905,0.0002245341,0.002066715,0.0006837053,0.0002561583,0.0005067603,0.000280204,0.0001919026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01832737,"about_ca_system_score_gemma":0.01591439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945101,"about_ca_topic_score_gemma":0.9980933,"domain_scores_codex":[0.9995784,0.00003342655,0.00001102404,0.00009439182,0.0001396723,0.0001429865],"domain_scores_gemma":[0.9985635,0.0001266274,0.0001755717,0.00003053053,0.0008593574,0.0002444641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007801574,0.00002323601,0.9797217,0.00004642393,0.00005817675,0.0001117958,0.0006956246,0.001818001,0.00111335,0.0002528599,0.001667687,0.01441324],"study_design_scores_gemma":[0.000002814023,0.000009311873,0.9968091,0.0000140928,0.00001600506,0.00001878773,0.0005084629,0.001358347,0.0001387049,0.00002852998,0.001087003,0.00000871537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917423,0.0004833353,0.0008369388,0.0002582395,0.00001050812,0.00003563335,0.003342101,0.0000358106,0.003255176],"genre_scores_gemma":[0.9973332,0.0001791341,0.0004832755,0.00003375471,0.000003354792,0.00001095165,0.0008961277,0.000009631565,0.001050659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01832737,"threshold_uncertainty_score":0.132975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905784582835088,"score_gpt":0.2858271489028216,"score_spread":0.2667693030744708,"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."}}