{"id":"W1904560642","doi":"","title":"Noise from railway operations in Canada","year":2000,"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":"Relocation; Rail traffic; Yard; Transport engineering; Noise (video); Rail transportation; Third rail; Noise control; Traffic noise; Road traffic; Engineering; Civil engineering; Track (disk drive); Computer science; Noise reduction","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":[0.0005597248,0.0002673179,0.0002179349,0.0009669933,0.005262954,0.001793724,0.0008073632,0.0006164508,0.006610456],"category_scores_gemma":[0.001795847,0.0002309079,0.0002737869,0.002479017,0.0008835352,0.0003631185,0.001312454,0.0007828522,0.0006804759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03696968,"about_ca_system_score_gemma":0.06936793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942976,"about_ca_topic_score_gemma":0.9974522,"domain_scores_codex":[0.9982179,0.00008449091,0.00005454383,0.0001038301,0.001074024,0.0004651598],"domain_scores_gemma":[0.9981237,0.0001204034,0.0001389852,0.00002270993,0.001105926,0.0004882222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004077443,0.0004059917,0.4914302,0.001347914,0.00008556563,0.006139394,0.07215963,0.00168808,0.005497003,0.003891186,0.1019353,0.3150121],"study_design_scores_gemma":[0.0000195938,0.000179179,0.8387251,0.0003197463,0.00003705669,0.0008760029,0.0524794,0.0003787082,0.0004766519,0.0001808151,0.1062547,0.00007302218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949795,0.004633489,0.0004445738,0.008373808,0.0004832633,0.000135751,0.002746473,0.00009505551,0.08810803],"genre_scores_gemma":[0.9429489,0.006418055,0.0003612732,0.002273719,0.00009369053,0.00003309878,0.001224803,0.00004172666,0.04660475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03696968,"threshold_uncertainty_score":0.2682351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164470973358351,"score_gpt":0.2910159726782415,"score_spread":0.2745688753424064,"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."}}