{"id":"W1547506730","doi":"","title":"Environmental assessments of rail projects - The noise factor","year":2004,"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":"Transport Canada","funders":"","keywords":"Noise (video); Noise pollution; Roadway noise; Transport engineering; Environmental noise; Engineering; Noise control; Environmental impact assessment; Environmental science; Civil engineering; Automotive engineering; Telecommunications; Computer science; Noise reduction; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001906354,0.0003212812,0.0002091354,0.002191718,0.0007615569,0.001077756,0.0003375272,0.0002554544,0.003111455],"category_scores_gemma":[0.007224896,0.0001110501,0.0002578097,0.001840791,0.000427576,0.0005746722,0.0009882216,0.0002396215,0.0002952261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143239,"about_ca_system_score_gemma":0.003892951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.10937,"about_ca_topic_score_gemma":0.2466636,"domain_scores_codex":[0.9927229,0.0009949951,0.0001865624,0.0001502113,0.005698311,0.0002471201],"domain_scores_gemma":[0.9951278,0.0007345424,0.0003976283,0.0001162275,0.003454599,0.0001691633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002651322,0.0002194489,0.2755896,0.001075732,0.0001313761,0.000510176,0.00194,0.04296112,0.008646127,0.02463078,0.01674316,0.6272874],"study_design_scores_gemma":[0.00001384683,0.0006815264,0.8070014,0.000716924,0.00008856009,0.000486905,0.005048941,0.01284035,0.004268554,0.008108477,0.1606772,0.00006738794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5838681,0.01248692,0.02914648,0.00278164,0.0002017981,0.0004192943,0.003493181,0.000271027,0.3673316],"genre_scores_gemma":[0.9740177,0.004262974,0.006058131,0.0001047245,0.00004090551,0.00006482925,0.000676573,0.00002513268,0.01474902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10937,"threshold_uncertainty_score":0.2174668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100072526142409,"score_gpt":0.3553614724193546,"score_spread":0.3143607471579305,"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."}}