{"id":"W615738457","doi":"","title":"Automated Metro Operation: Greater Capacity and Safer, More Efficient Transport","year":2011,"lang":"en","type":"article","venue":"Public transport international","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; SAFER; Transport engineering; Flexibility (engineering); Transit (satellite); Public transport; Transit system; Rail transit; Engineering; Computer science; Economics","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":[0.0003408078,0.000304744,0.0001748673,0.0003813519,0.0004759131,0.001437089,0.000528292,0.0005844827,0.007721902],"category_scores_gemma":[0.0008088062,0.0001016549,0.0001752229,0.0007045701,0.000613972,0.001896308,0.0007776505,0.0004191853,0.0006345178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712501,"about_ca_system_score_gemma":0.001041599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005097243,"about_ca_topic_score_gemma":0.008234579,"domain_scores_codex":[0.9996099,0.0001016858,0.00001112279,0.0000463431,0.0001622194,0.00006889073],"domain_scores_gemma":[0.9996276,0.00008074041,0.00009339721,0.00005461566,0.0000886787,0.00005497151],"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":[0.0003310142,0.000425465,0.009584444,0.000506998,0.0001030497,0.0005062888,0.0005901862,0.2123841,0.01440307,0.4051236,0.03188793,0.3241539],"study_design_scores_gemma":[0.000158297,0.0006767908,0.03518454,0.0001853862,0.00006776604,0.0008416534,0.002212821,0.3227382,0.007754373,0.2790743,0.3509814,0.0001245311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4766732,0.004115125,0.2517993,0.009467999,0.0004541118,0.0001465509,0.0009640838,0.0005742493,0.2558053],"genre_scores_gemma":[0.9686239,0.001361107,0.01650703,0.000191667,0.0002518349,0.00003974196,0.0002127493,0.00004618118,0.01276573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007721902,"threshold_uncertainty_score":0.02583236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186490211431202,"score_gpt":0.2775369205908563,"score_spread":0.2256720184765443,"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."}}