{"id":"W561557277","doi":"","title":"CN: SAFER, FASTER, SMARTER","year":2004,"lang":"en","type":"article","venue":"Railway age","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Standardization; Modernization theory; Intelligent transportation system; Service (business); Business; Engineering; Transport engineering; Engineering management; Computer science; Marketing; Economics; Economic growth; Computer security","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":[0.001282921,0.0004803693,0.0001994496,0.002142446,0.004732437,0.006273421,0.000969279,0.001323788,0.044036],"category_scores_gemma":[0.003427014,0.0001365188,0.0001354375,0.003743236,0.001717905,0.002894348,0.001287766,0.00126939,0.009011558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0245552,"about_ca_system_score_gemma":0.05193989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8903536,"about_ca_topic_score_gemma":0.9290924,"domain_scores_codex":[0.9966884,0.0001359409,0.00006281216,0.0002444397,0.002381293,0.0004871018],"domain_scores_gemma":[0.9970867,0.0000792241,0.0001905138,0.0001282582,0.001912278,0.0006030361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002982603,0.00003503192,0.009487787,0.0001151934,0.000006534039,0.0001094868,0.001193475,0.0004664838,0.0009796239,0.0684657,0.7040221,0.2150887],"study_design_scores_gemma":[0.000003307486,0.000007690049,0.01138781,0.00003634803,0.000003820882,0.00008922174,0.0009202533,0.0001776775,0.000244933,0.001470394,0.9856405,0.00001800896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02599908,0.003228661,0.00389808,0.06552716,0.002671307,0.0001370014,0.002581793,0.00150806,0.8944488],"genre_scores_gemma":[0.2614822,0.005788409,0.01131589,0.01330683,0.0005870704,0.00004984548,0.002798021,0.0004950524,0.7041767],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1096464,"threshold_uncertainty_score":0.2205842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718081879502249,"score_gpt":0.1986155291847898,"score_spread":0.1814347103897673,"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."}}