{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030009,0.00006169618,0.0001240661,0.00009672631,0.0003578984,0.000009118133,0.0000910955,0.00005549609,0.00002139223],"category_scores_gemma":[0.00004656142,0.00006243266,0.00009511026,0.0003225039,0.00005092181,0.0004680334,1.433937e-7,0.0000716779,0.000002623837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002748676,"about_ca_system_score_gemma":0.0001388677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004412835,"about_ca_topic_score_gemma":0.0000642662,"domain_scores_codex":[0.9991472,0.00001931795,0.0003780647,0.000080247,0.0002542188,0.0001209074],"domain_scores_gemma":[0.9988452,0.0001317652,0.0003456489,0.00004285655,0.0005552367,0.0000792616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009621237,0.0003671305,0.03233545,0.0001006765,0.0001023726,0.00002710402,0.09778192,0.7959175,0.0008311328,0.04238224,0.001411575,0.02778079],"study_design_scores_gemma":[0.003332071,0.000286867,0.5831189,0.0001544674,0.0001879247,0.00000782979,0.008638521,0.00003105295,0.0008370684,0.003602005,0.3993629,0.0004404023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3633529,0.0006698963,0.6329654,0.001054451,0.0005838706,0.0006950821,0.00003467455,0.00007233104,0.0005713646],"genre_scores_gemma":[0.9392455,0.000770004,0.05910694,0.00005532986,0.00026828,0.0000365727,0.00006216065,0.00001098215,0.0004442435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7958864,"threshold_uncertainty_score":0.2752702,"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."}}