{"id":"W1994635411","doi":"10.1121/1.4805562","title":"Setting noise stringency by international consensus","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","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); Context (archaeology); Interdependence; Process (computing); Computer science; Aircraft noise; Set (abstract data type); Noise reduction; Environmental science; Political science; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.05844597,0.001095286,0.001336804,0.004385113,0.006985963,0.00847841,0.003531683,0.006355977,0.01151595],"category_scores_gemma":[0.07912707,0.0006600969,0.001733903,0.002256088,0.008144673,0.007553555,0.01680679,0.008182668,0.002599829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007467087,"about_ca_system_score_gemma":0.01466714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507174,"about_ca_topic_score_gemma":0.003113854,"domain_scores_codex":[0.9491981,0.02359587,0.003624616,0.00636118,0.01322487,0.003995291],"domain_scores_gemma":[0.941924,0.02372454,0.005018058,0.005803938,0.01988341,0.003646056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001640521,0.0002383968,0.002465303,0.0004859547,0.0001069937,0.0004032244,0.00912637,0.01741613,0.00272626,0.849237,0.01329642,0.1043339],"study_design_scores_gemma":[0.0001044395,0.0004932522,0.002430253,0.0007791291,0.00008287694,0.0001656056,0.01082248,0.02484034,0.003492574,0.8341663,0.1224287,0.0001940257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04954458,0.001087407,0.6293131,0.03408512,0.002382527,0.001299484,0.0001137352,0.0004344537,0.2817397],"genre_scores_gemma":[0.7807061,0.0008030166,0.1783687,0.00611631,0.0006836687,0.001836404,0.000200252,0.0002636425,0.03102188],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05844597,"threshold_uncertainty_score":0.3090956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663605653217454,"score_gpt":0.3347182604979631,"score_spread":0.3180822039657886,"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."}}