{"id":"W3037933976","doi":"10.1061/jtepbs.0000424","title":"Probabilistic Methodology to Quantify User Delay Costs for Urban Arterial Work Zones","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Elevator Systems and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Probabilistic logic; Computer science; Work (physics); Environmental science; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004759645,0.0002069612,0.000587629,0.0001139565,0.00002775894,0.0000495057,0.0001559706,0.0001137334,0.000005318711],"category_scores_gemma":[0.00009682454,0.0001949084,0.0001764705,0.0002412762,0.000006259144,0.0001448567,0.000001216101,0.0001553408,0.000006532733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006326105,"about_ca_system_score_gemma":0.00002621771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004792641,"about_ca_topic_score_gemma":0.000005583701,"domain_scores_codex":[0.9983717,0.00004213321,0.0009787298,0.0001397358,0.0002113332,0.0002564255],"domain_scores_gemma":[0.9990782,0.0002085474,0.0001652182,0.0001062373,0.0001864576,0.0002553196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001835586,0.00001349733,0.0007110013,0.0007407115,0.0002451993,0.00002497011,0.001504569,0.9785596,0.01144175,0.001739923,0.004710176,0.0001251165],"study_design_scores_gemma":[0.008000635,0.001856586,0.01556029,0.002824801,0.0009303758,0.0001593402,0.0009959637,0.273665,0.002931741,0.00001772321,0.6910021,0.002055414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3128275,0.000654029,0.6813508,0.0001805645,0.004189984,0.000612263,0.00005377263,0.000125491,0.000005548692],"genre_scores_gemma":[0.9922076,0.000005644672,0.005973392,0.00003105804,0.001578524,0.0001068647,0.00001184097,0.00006394968,0.00002109027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7048945,"threshold_uncertainty_score":0.7948134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03999335266338857,"score_gpt":0.2466136519120304,"score_spread":0.2066202992486419,"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."}}