{"id":"W1965973529","doi":"10.1002/atr.5670420106","title":"ITS applications for work zones","year":2008,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software deployment; Dissemination; Work (physics); Intelligent transportation system; Investment (military); Transport engineering; Computer science; Traffic congestion; Variable (mathematics); Operations research; Risk analysis (engineering); Engineering; Business; Telecommunications; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004206454,0.0004365603,0.0002642507,0.0005586953,0.0004211718,0.001095207,0.0007397207,0.0005748716,0.008483707],"category_scores_gemma":[0.001963463,0.0001392292,0.0003699721,0.0008137352,0.0002375035,0.0004070136,0.0006736715,0.0002956387,0.0006613721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025479,"about_ca_system_score_gemma":0.0008268669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166097,"about_ca_topic_score_gemma":0.009851987,"domain_scores_codex":[0.9996031,0.0002264383,0.00002234516,0.00003597239,0.00007895882,0.00003307873],"domain_scores_gemma":[0.9989795,0.0005215748,0.00008637262,0.0001107249,0.0002207826,0.00008100403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004779782,0.0001712665,0.01727129,0.0004144359,0.00005767813,0.0004627442,0.0004567721,0.8365368,0.009205353,0.01470417,0.00425356,0.1159879],"study_design_scores_gemma":[0.00006779558,0.0001744559,0.004350747,0.00007529915,0.00005570653,0.0001402255,0.0005033736,0.9527635,0.007083037,0.005797341,0.02895911,0.00002946719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6481849,0.0009167598,0.2866744,0.001392775,0.000345117,0.0006442631,0.00228369,0.005049542,0.05450858],"genre_scores_gemma":[0.9572853,0.0002488587,0.03974518,0.00002607563,0.00001748291,0.0001177135,0.0003011403,0.00003741039,0.002220884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01166097,"threshold_uncertainty_score":0.02838081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355816108996672,"score_gpt":0.304153020429297,"score_spread":0.2805948593393303,"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."}}