{"id":"W2016558995","doi":"10.1177/1087724x0044001","title":"Using Technology in Surface Transportation to Save Lives, Time, and Money","year":2000,"lang":"en","type":"article","venue":"Public Works Management & Policy","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Gridlock; Software deployment; Traffic congestion; Bureaucracy; Legislation; Business; Public transport; Transport engineering; Intelligent transportation system; Engineering; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006705247,0.0003420338,0.0001924553,0.0007325673,0.00130644,0.004030016,0.0004585038,0.001262922,0.01187149],"category_scores_gemma":[0.001583926,0.0001220907,0.0002631846,0.001628176,0.00418709,0.003915251,0.001840451,0.0009999917,0.002506159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326238,"about_ca_system_score_gemma":0.001849471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004019337,"about_ca_topic_score_gemma":0.007152532,"domain_scores_codex":[0.9988927,0.000501358,0.00003207759,0.000106243,0.0003498048,0.0001178305],"domain_scores_gemma":[0.9996051,0.0001239594,0.00007844822,0.00006129162,0.00008788682,0.00004327581],"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":[0.00002896468,0.00009065376,0.003715635,0.0002226995,0.00002205316,0.0001511773,0.0007471649,0.006131192,0.001374016,0.7933914,0.03199426,0.1621309],"study_design_scores_gemma":[0.00001203384,0.000145312,0.004326862,0.0004944904,0.00002342815,0.000269575,0.002304354,0.004405307,0.001257419,0.4417721,0.5449554,0.00003378203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.06369367,0.03962659,0.09835933,0.06774617,0.002208136,0.0001477068,0.0003283422,0.0001784648,0.7277117],"genre_scores_gemma":[0.7940335,0.05535954,0.03756845,0.004284592,0.001694105,0.0002020189,0.0002678376,0.00008281987,0.1065071],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01187149,"threshold_uncertainty_score":0.0397141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689360294104173,"score_gpt":0.2995809035186368,"score_spread":0.2826873005775951,"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."}}