{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003737255,0.000136744,0.0002484611,0.0002373627,0.0008300447,0.00004142303,0.0002072156,0.00007731085,0.000105088],"category_scores_gemma":[0.0001091388,0.0001003524,0.00007610208,0.0005386118,0.0001993993,0.000109485,0.0003224566,0.0003148149,0.00001469944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631941,"about_ca_system_score_gemma":0.0001737095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006632364,"about_ca_topic_score_gemma":0.0004821828,"domain_scores_codex":[0.9974592,0.0002559523,0.0008052929,0.0005610164,0.0004661912,0.0004523619],"domain_scores_gemma":[0.9983859,0.0001752842,0.0004305928,0.000908053,0.00003877275,0.0000613817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002588811,0.001413641,0.5701929,0.001884519,0.0003201007,0.0005913619,0.02949389,0.05852813,0.05775704,0.006246505,0.2594544,0.01385861],"study_design_scores_gemma":[0.003018818,0.0001437152,0.204917,0.002103275,0.0003955412,0.000007585435,0.006004933,0.06897769,0.01042577,0.1815738,0.5211038,0.001328132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709892,0.0003482172,0.01031363,0.0003754787,0.005995895,0.001513546,0.000004450436,0.00002396872,0.01043556],"genre_scores_gemma":[0.9901553,0.00001450819,0.0001343684,0.0001313016,0.00005570894,0.00013062,0.00001816008,0.00001052561,0.009349538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.365276,"threshold_uncertainty_score":0.6384117,"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."}}