{"id":"W4320165215","doi":"10.12968/s1356-9252(23)40288-2","title":"Timing is Everything","year":2019,"lang":"en","type":"article","venue":"Traffic Technology International","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic signal; Computer science; Aeronautics; Transport engineering; Engineering; Real-time computing; Telecommunications; Simulation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002422432,0.001114039,0.0007039158,0.001007753,0.002566668,0.008713476,0.001349828,0.001901963,0.03734258],"category_scores_gemma":[0.01171066,0.0006575008,0.0006468685,0.001254483,0.006161229,0.0129662,0.003300343,0.004631149,0.01210584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044813,"about_ca_system_score_gemma":0.003520416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005924109,"about_ca_topic_score_gemma":0.004514481,"domain_scores_codex":[0.9972414,0.0005920713,0.0001567729,0.0008148896,0.0008567868,0.0003381028],"domain_scores_gemma":[0.9947236,0.001344911,0.000613225,0.001196565,0.001233553,0.0008881766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001923024,0.00006480932,0.002352527,0.0004005996,0.00009950701,0.0001915945,0.0012888,0.002444121,0.002106113,0.8063298,0.08245131,0.1020785],"study_design_scores_gemma":[0.00002704104,0.00007886824,0.001536869,0.0003159077,0.00006666908,0.000263471,0.000853617,0.0008694807,0.001055344,0.3571123,0.6377403,0.0000801243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0134946,0.01621616,0.1443239,0.07708519,0.02292644,0.0001482767,0.001941487,0.002158935,0.721705],"genre_scores_gemma":[0.5378968,0.01792214,0.04329761,0.03098626,0.008252178,0.000286845,0.00191202,0.002900657,0.3565455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03734258,"threshold_uncertainty_score":0.1249233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392818165292823,"score_gpt":0.2939817852871392,"score_spread":0.2800536036342109,"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."}}