{"id":"W1642604425","doi":"","title":"Effect of traffic characteristics and road geometric parameters on developed traffic noise levels","year":2005,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic noise; Noise (video); Intersection (aeronautics); Interval (graph theory); Traffic volume; Statistics; Environmental science; Mathematics; Simulation; Computer science; Engineering; Noise reduction; Transport engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006111722,0.0003568265,0.000315002,0.0005649126,0.0003036619,0.0006515243,0.0002678477,0.0003225217,0.0008854412],"category_scores_gemma":[0.004513378,0.0002379105,0.0002493614,0.0005249655,0.0003293376,0.0002585891,0.0003214044,0.000286572,0.0001762272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000839916,"about_ca_system_score_gemma":0.000911043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02676618,"about_ca_topic_score_gemma":0.05226716,"domain_scores_codex":[0.9985916,0.0003087475,0.00008706165,0.0001775697,0.0006505818,0.0001844699],"domain_scores_gemma":[0.9972595,0.001137489,0.0005698614,0.0001045749,0.00067009,0.0002584952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002218417,0.0007400613,0.918931,0.0001154035,0.0001783383,0.0005974823,0.0005589457,0.00666622,0.04341822,0.0001092563,0.00009717495,0.02636953],"study_design_scores_gemma":[0.000005929925,0.0005853436,0.9948537,0.000002640103,0.00003045496,0.0001065026,0.000221754,0.0008216642,0.00315738,0.00002242004,0.0001802335,0.00001197627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989923,0.00005605105,0.0004297046,0.000006387877,0.000002134459,0.0000112763,0.00005308496,0.000005104949,0.0004439501],"genre_scores_gemma":[0.9990041,0.00006487766,0.0003611101,0.00000658829,0.00000280562,0.000009082662,0.0001509428,0.000005016123,0.0003954858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02676618,"threshold_uncertainty_score":0.05322075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238566799252442,"score_gpt":0.3292200687687398,"score_spread":0.2968344007762154,"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."}}