{"id":"W4298126145","doi":"10.32920/19750201.v1","title":"Burden of Disease from Traffic Noise Quantification of Healthy Life Years Lost in Toronto, Canada","year":2022,"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":"Annoyance; Decibel; Noise (video); Traffic noise; Environmental health; Noise pollution; Public health; Environmental noise; Geography; Medicine; Audiology; Computer science; Noise reduction; Sound (geography)","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":[0.0003528176,0.0004411112,0.000365237,0.001923131,0.0009170434,0.001242026,0.0006351916,0.0002197963,0.003426006],"category_scores_gemma":[0.001424412,0.000192676,0.0006990167,0.00448611,0.0003422936,0.0002545507,0.0008420094,0.0004966501,0.0003253468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03242487,"about_ca_system_score_gemma":0.02628824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960427,"about_ca_topic_score_gemma":0.9970957,"domain_scores_codex":[0.9993713,0.0000488126,0.00004244788,0.0000738363,0.0003366553,0.0001269718],"domain_scores_gemma":[0.9988531,0.00004925732,0.0001525768,0.00003141418,0.0007150155,0.000198643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002315708,0.0000319248,0.9381691,0.0004148378,0.0004959833,0.0003977992,0.001193992,0.006374944,0.0009391191,0.001303445,0.02134987,0.0290974],"study_design_scores_gemma":[0.0000102222,0.00002693549,0.9883859,0.0001252328,0.0001258947,0.000107915,0.001409047,0.003125834,0.0001614181,0.0001120903,0.006383044,0.00002645455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326674,0.005955642,0.001833979,0.002125809,0.0001309097,0.0001321655,0.1385804,0.000148436,0.01842532],"genre_scores_gemma":[0.9754133,0.002110764,0.001007837,0.0001075339,0.00001636656,0.00004183007,0.01664107,0.00001982018,0.004641403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03242487,"threshold_uncertainty_score":0.23526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397064767786049,"score_gpt":0.3748821169382718,"score_spread":0.3351756401596669,"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."}}