{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008242481,0.0001330305,0.0001515848,0.0001090358,0.00009926139,0.0001565979,0.0001718047,0.0000492791,0.000603453],"category_scores_gemma":[0.000004444767,0.0001236609,0.0000832207,0.0001077605,0.00004360575,0.0006850318,0.00003773374,0.00007531923,0.0033397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002175896,"about_ca_system_score_gemma":0.000008754791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007219214,"about_ca_topic_score_gemma":0.0006346753,"domain_scores_codex":[0.9992929,9.975821e-7,0.0001784139,0.0001735872,0.00006892515,0.0002851394],"domain_scores_gemma":[0.9997234,0.000004934985,0.00005846017,0.0001877683,0.00001305511,0.00001236996],"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":[0.0002941931,0.0009589199,0.1334127,0.001013924,0.0003805834,0.0008144298,0.003399372,0.002106132,0.01009671,0.7108337,0.07668786,0.06000144],"study_design_scores_gemma":[0.001205889,0.000005956625,0.1070537,0.00003238965,0.00002959904,0.000002435134,0.0001048952,0.00003169695,0.0001559507,0.01032911,0.880737,0.0003113271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212174,0.00005458185,0.0002877985,0.001492688,0.0005982482,0.0001044014,0.000003010495,0.0001823926,0.1760595],"genre_scores_gemma":[0.9920437,0.000006377913,0.00007985673,0.004001833,0.001268355,0.0000078463,0.00003116102,0.0000216662,0.002539231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8040491,"threshold_uncertainty_score":0.9974363,"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."}}