{"id":"W617873971","doi":"","title":"Influence of Texture on Tire/Pavement Noise","year":2006,"lang":"en","type":"article","venue":"10TH INTERNATIONAL CONFERENCE ON ASPHALT PAVEMENTS - AUGUST 12 TO 17, 2006, QUEBEC CITY, CANADA","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Sieve (category theory); Tread; Texture (cosmology); Trailer; Limiting; Noise level; Noise barrier; Environmental science; Mathematics; Engineering; Noise reduction; Computer science; Materials science; Automotive engineering; Artificial intelligence; Composite material; Telecommunications; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008919949,0.0005267421,0.0005069369,0.001335749,0.0007152195,0.001378825,0.0003478434,0.0004162067,0.003196654],"category_scores_gemma":[0.003440809,0.0002437073,0.000521881,0.0008767382,0.0005032831,0.0003102302,0.0004663599,0.0003146137,0.0006678298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186464,"about_ca_system_score_gemma":0.0005762837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09466214,"about_ca_topic_score_gemma":0.125902,"domain_scores_codex":[0.9983871,0.0001376089,0.00005652232,0.0001897698,0.001045459,0.0001836129],"domain_scores_gemma":[0.9959545,0.001061291,0.0004295518,0.0001566883,0.002168385,0.0002295971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002915003,0.0003340309,0.492943,0.0007855487,0.0005400128,0.001640501,0.001050336,0.01571286,0.3574148,0.0002257818,0.001514499,0.1249237],"study_design_scores_gemma":[0.00001206543,0.0005189033,0.956212,0.00003295057,0.0001912395,0.0004073046,0.0006400016,0.004136218,0.0357131,0.00009257076,0.001998826,0.00004471864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902835,0.0007980896,0.003398429,0.00003601142,0.00003191219,0.00004565595,0.000387075,0.00007130716,0.004947957],"genre_scores_gemma":[0.9961498,0.0003090037,0.0009533328,0.00002988537,0.00001013345,0.000009974276,0.0003289836,0.00003387057,0.002175201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09466214,"threshold_uncertainty_score":0.1882223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979753899886037,"score_gpt":0.2559938036772425,"score_spread":0.2361962646783821,"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."}}