{"id":"W4415766947","doi":"10.1016/j.aftran.2025.100067","title":"Mapping road traffic noise descriptors in a sub-Saharan city: An extensivae mobile data collection in Abidjan (Ivory Coast)","year":2025,"lang":"en","type":"article","venue":"African Transport Studies","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Institut National de la Recherche Scientifique","funders":"Canada Excellence Research Chairs, Government of Canada; Institut national de la recherche scientifique","keywords":"Noise (video); Traffic noise; Noise pollution; Scale (ratio); Road traffic; Data collection; Environmental noise; Bayesian probability","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":[0.0004318968,0.0002817895,0.0003021277,0.001913743,0.0006812828,0.000740902,0.0003935118,0.0002937249,0.0004807798],"category_scores_gemma":[0.0009915928,0.000205389,0.0002238603,0.003061794,0.0002910447,0.0002002741,0.0007529645,0.0002252086,0.0001734226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060892,"about_ca_system_score_gemma":0.001053194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890391,"about_ca_topic_score_gemma":0.2265824,"domain_scores_codex":[0.9996885,0.00009939398,0.00003484408,0.00004891221,0.00005058797,0.00007783606],"domain_scores_gemma":[0.9996157,0.00009295403,0.00008110316,0.00004085075,0.0001205702,0.00004873228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097791,0.0001939529,0.9561721,0.0001806672,0.00007637238,0.001539065,0.01343114,0.001182883,0.002508928,0.0001797008,0.0006477392,0.02377759],"study_design_scores_gemma":[0.000005819878,0.00006775167,0.980495,0.00002968482,0.00002358638,0.000147991,0.01692883,0.0005075498,0.0002676933,0.0000263582,0.001490338,0.000009375547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986585,0.0000352324,0.00008842519,0.00001866233,0.000001350369,0.00003098734,0.0008270807,0.000003111433,0.0003366336],"genre_scores_gemma":[0.9955472,0.0002159088,0.001185737,0.00003465,0.000004620247,0.0001487313,0.002099897,0.000003374212,0.0007598563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890391,"threshold_uncertainty_score":0.3758776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0973134770908854,"score_gpt":0.3911583006722324,"score_spread":0.293844823581347,"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."}}