{"id":"W1621140867","doi":"","title":"Acoustic impact of the green corridor action group's urban design using acoustic mapping","year":2009,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Soundscape; Noise (video); Noise pollution; Legislation; Profit (economics); Noise control; Noise barrier; Transport engineering; Civil engineering; Bridge (graph theory); Traffic noise; Computer science; Geography; Environmental science; Environmental resource management; Engineering; Sound (geography); Geology; Noise reduction; Political science","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":[0.0018927,0.0003940877,0.0001741472,0.000501337,0.0009648289,0.001230459,0.0004374678,0.0005753781,0.001122477],"category_scores_gemma":[0.002829799,0.0001494343,0.0004250325,0.0006194515,0.0005057744,0.0004124086,0.0007725228,0.0003147934,0.0001527854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533393,"about_ca_system_score_gemma":0.003173985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1154169,"about_ca_topic_score_gemma":0.2489358,"domain_scores_codex":[0.9983797,0.0009118233,0.00003336055,0.0001176008,0.0004008888,0.0001567212],"domain_scores_gemma":[0.9984915,0.0006486129,0.0001575733,0.0001776747,0.0003876529,0.0001368712],"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":[0.001794697,0.001601807,0.2990654,0.0002987192,0.0001820222,0.0009665933,0.01047071,0.3033814,0.02431148,0.008187183,0.004799343,0.3449407],"study_design_scores_gemma":[0.0001869322,0.005277085,0.5983647,0.0001374094,0.0003164039,0.0004153502,0.02991463,0.2978502,0.01897806,0.004154323,0.04397645,0.0004284179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853868,0.00003391569,0.004016511,0.0001980303,0.00001617102,0.0001040561,0.0001481228,0.00009358468,0.01000267],"genre_scores_gemma":[0.9883371,0.00004765108,0.009521901,0.00002801514,0.00000364023,0.00006017351,0.0001052748,0.00001638328,0.001879766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154169,"threshold_uncertainty_score":0.2294902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011210454487306,"score_gpt":0.3760523134006801,"score_spread":0.2749312679519495,"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."}}