{"id":"W4411865199","doi":"10.1038/s41598-025-06537-1","title":"Moving beyond the noise: geospatial modelling of urban sound environments in a sub-Saharan African city","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Noise Effects and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Imperial College London; Wellcome Trust","keywords":"Sound (geography); Geospatial analysis; Noise (video); Geography; Scale (ratio); Urban planning; Traffic noise; Environmental health; Computer science; Cartography; Ecology; Medicine; Acoustics; Noise reduction; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004323295,0.0005534653,0.0004167453,0.001242461,0.0006722016,0.001850466,0.000769407,0.001008332,0.001175502],"category_scores_gemma":[0.00172017,0.0003941617,0.0007586834,0.001842587,0.0006332847,0.0008015098,0.0010556,0.0006352436,0.0001485398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201266,"about_ca_system_score_gemma":0.001035646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1536888,"about_ca_topic_score_gemma":0.09787539,"domain_scores_codex":[0.9998152,0.00006790645,0.00001142029,0.00004333588,0.00001713365,0.00004502129],"domain_scores_gemma":[0.9995881,0.0002350317,0.00005317852,0.00002565348,0.00005497903,0.00004318108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007887145,0.0001124666,0.04819568,0.00003514543,0.00005642873,0.0002271351,0.0003088932,0.9396422,0.0004178196,0.00167219,0.0005330033,0.008720255],"study_design_scores_gemma":[0.00000815064,0.000009063442,0.008173419,0.00001027715,0.000008850524,0.00001741183,0.0002937682,0.9905358,0.00005206472,0.0005221078,0.0003592215,0.000009784126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848836,0.000269203,0.011472,0.0005482891,0.00002624852,0.00005397369,0.001043599,0.000164487,0.00153852],"genre_scores_gemma":[0.9931492,0.0001802419,0.005804297,0.00002330484,0.0000119582,0.00003245829,0.0004189486,0.00001725507,0.0003623786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1536888,"threshold_uncertainty_score":0.3055884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119103458713062,"score_gpt":0.3134251856935859,"score_spread":0.2822341511064553,"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."}}