{"id":"W2157372921","doi":"10.3141/2047-01","title":"Road Capacity and Performance Implications of Ramp Closure Toronto, Canada, Experience","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Traffic volume; Traffic speed; Traffic flow (computer networking); Transport engineering; Travel time; Closure (psychology); Throughput; Upstream (networking); Traffic congestion; Environmental science; Computer science; Engineering; Telecommunications; Computer network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005895285,0.0002318937,0.0002683874,0.000617188,0.002006782,0.001683308,0.001021491,0.0003055886,0.004923267],"category_scores_gemma":[0.003738555,0.0001547905,0.0002196717,0.001726609,0.001059972,0.0007306283,0.0007612685,0.0005289349,0.0004417462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02301111,"about_ca_system_score_gemma":0.01604519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810564,"about_ca_topic_score_gemma":0.991979,"domain_scores_codex":[0.9991348,0.00007450047,0.0000256859,0.0000717201,0.000363215,0.0003299656],"domain_scores_gemma":[0.9978082,0.0002209608,0.0001554332,0.00009579695,0.001268193,0.0004514574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00183704,0.000922911,0.6684507,0.0004026975,0.0001190499,0.004253767,0.04159224,0.0805805,0.0104924,0.008908788,0.04489252,0.1375474],"study_design_scores_gemma":[0.00004238796,0.0003070544,0.9239763,0.00009949764,0.00004794928,0.0002238915,0.03556309,0.009530877,0.001931274,0.0004182816,0.02776813,0.00009113357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799068,0.0001413718,0.0001131122,0.0002422536,0.000008367669,0.00001912969,0.0009943701,0.00002614596,0.0185483],"genre_scores_gemma":[0.996296,0.0001521321,0.00007530426,0.00001466586,0.000002246911,0.000005111321,0.0005146951,0.000007256896,0.002932552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02301111,"threshold_uncertainty_score":0.1669582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05422062603150248,"score_gpt":0.3004344499647674,"score_spread":0.246213823933265,"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."}}