{"id":"W7043992364","doi":"","title":"Urban Noise Observatory and Management Tool – Application to Quebec Case","year":2023,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Environmental noise; Urban planning; QUIET; Noise control; Observatory; Noise measurement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045535,0.0003208689,0.0001581333,0.001788095,0.002074926,0.001189094,0.0009286189,0.0008999938,0.006006171],"category_scores_gemma":[0.002876797,0.0001629117,0.0002170482,0.001960248,0.000558025,0.0003754282,0.0008924927,0.0003958528,0.0003954121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01555881,"about_ca_system_score_gemma":0.009722307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9635956,"about_ca_topic_score_gemma":0.9804067,"domain_scores_codex":[0.9994034,0.0001791125,0.00002737456,0.00005770201,0.0002046293,0.0001277547],"domain_scores_gemma":[0.9985225,0.0005368023,0.00008937585,0.00007741823,0.0005675993,0.0002064195],"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":[0.0006320338,0.00212225,0.488462,0.0006272475,0.0001044576,0.02818827,0.03232377,0.04632317,0.009635111,0.01835508,0.05614869,0.317078],"study_design_scores_gemma":[0.0001976232,0.0005294055,0.597714,0.0004194942,0.0001339335,0.003331926,0.07185634,0.1292523,0.005019553,0.002035157,0.1893005,0.0002096956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9263127,0.0005033772,0.01175108,0.003520231,0.00006383604,0.0007050809,0.003956981,0.0004807143,0.05270596],"genre_scores_gemma":[0.949677,0.0006784364,0.02002804,0.0002759028,0.00002474428,0.0002996883,0.001285494,0.00006691114,0.02766374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03640443,"threshold_uncertainty_score":0.1128876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798682921977296,"score_gpt":0.3301343234495954,"score_spread":0.3021474942298225,"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."}}