{"id":"W2516797923","doi":"","title":"Effectiveness of Noise Reducing Asphalt Pavements","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Asphalt; Christian ministry; Noise reduction; Acoustics; Traffic noise; Road surface; Environmental science; Noise control; Noise measurement; Roadway noise; Engineering; Automotive engineering; Sound intensity; Road traffic; Intensity (physics); Marine engineering; Sound (geography); Computer science; Civil engineering; Materials science; Transport engineering; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145674,0.0001052728,0.0001194592,0.0001488327,0.00003643465,0.000006734212,0.0001102088,0.00006207993,0.0001565433],"category_scores_gemma":[0.00006647759,0.00009186324,0.00002360874,0.0001318167,0.00002999537,0.0001269525,0.000008374132,0.00004813721,0.00007532389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226475,"about_ca_system_score_gemma":0.0001524544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000923319,"about_ca_topic_score_gemma":0.0003077088,"domain_scores_codex":[0.9992503,0.00002420912,0.0001825596,0.0001067645,0.0001504252,0.0002857352],"domain_scores_gemma":[0.99943,0.0000758753,0.0000291068,0.0001999611,0.00007667077,0.0001883981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000005266966,0.000007540377,0.005107426,0.0004288621,0.00005216045,0.000005797997,0.00008508289,0.05289295,0.9207292,0.0001356727,0.001190697,0.01935938],"study_design_scores_gemma":[0.002438064,0.0001849229,0.5450414,0.001764102,0.0001691717,0.000005820675,0.00009205484,0.1343875,0.3132656,0.0005387162,0.001257697,0.0008549019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666554,0.00007978747,0.02999595,0.00001499144,0.0007055479,0.0002369212,0.00006264994,0.00006135482,0.002187382],"genre_scores_gemma":[0.9993531,0.00004339865,0.0003700191,0.00001488844,0.00006120012,0.00001653456,0.00001011638,0.00002856733,0.0001022417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6074636,"threshold_uncertainty_score":0.3746074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050622614885778,"score_gpt":0.2238758214281358,"score_spread":0.213369595279278,"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."}}