{"id":"W4399766067","doi":"10.32920/26052541.v1","title":"Investigating the Influence of Environmental Features on Air Pollution and Environmental Noise in Three Cities of Ontario, Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Noise pollution; Environmental noise; Air pollution; Noise (video); Environmental planning; Pollution; Environmental science; Environmental pollution; Geography; Environmental protection; Environmental resource management; Computer science; Noise reduction; Oceanography; Geology; Sound (geography); Ecology","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":[0.0003031745,0.0003214715,0.0003266609,0.0007337806,0.002215888,0.00110182,0.0005006519,0.0002199207,0.001123372],"category_scores_gemma":[0.001543012,0.0002231637,0.0003995676,0.002420058,0.000769825,0.0002408977,0.0006724733,0.0002260407,0.0001185049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02243057,"about_ca_system_score_gemma":0.02256256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961759,"about_ca_topic_score_gemma":0.9987636,"domain_scores_codex":[0.9994369,0.00005410249,0.00002232373,0.00009877194,0.0002244839,0.0001633934],"domain_scores_gemma":[0.9986872,0.0001799642,0.0002033325,0.00004166332,0.0006710957,0.0002166972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067048,0.00002313913,0.9868307,0.00004574323,0.00007188415,0.0002198342,0.003071681,0.001032693,0.001317271,0.0002419598,0.0006506817,0.006387696],"study_design_scores_gemma":[0.00000310755,0.000008403599,0.9966195,0.000005850689,0.00001528667,0.00001304707,0.002063858,0.0005613366,0.0001220513,0.00001849214,0.0005623316,0.000006723809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977267,0.00007158393,0.0001609567,0.00008784951,0.000002186969,0.00001597978,0.0006264277,0.000006219446,0.001302138],"genre_scores_gemma":[0.9976873,0.00009238043,0.000250059,0.0000209295,0.000001574967,0.00001220013,0.0005005491,0.000004152505,0.001430935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02243057,"threshold_uncertainty_score":0.162746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135705172355027,"score_gpt":0.2666223637600935,"score_spread":0.2530518465245908,"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."}}