{"id":"W649628654","doi":"","title":"Economies of Scale in Operating Costs for LRT and Streetcars","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economies of scale; Transit (satellite); Mile; Transport engineering; Unit (ring theory); Service (business); Public transport; Scale (ratio); Light rail transit; Business; Modal; Modal shift; Light rail; Kilometer; Engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0125453,0.0002646985,0.0005369617,0.001330628,0.001150826,0.0001689406,0.0004480424,0.0003379515,0.00008807246],"category_scores_gemma":[0.0009830463,0.0002996701,0.000132057,0.0015845,0.001326963,0.0009731931,0.000006317207,0.0007614651,0.000008089454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879965,"about_ca_system_score_gemma":0.0005495381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0312066,"about_ca_topic_score_gemma":0.1934814,"domain_scores_codex":[0.9932906,0.001430458,0.001249456,0.0008439685,0.001966064,0.001219473],"domain_scores_gemma":[0.9935277,0.002636051,0.0002282114,0.0002926258,0.002887287,0.0004281099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008109316,0.0003205689,0.7947532,0.0006834673,0.00005689411,0.000008813543,0.09182272,0.01365275,0.001453489,0.07937784,0.001277585,0.01578174],"study_design_scores_gemma":[0.002826313,0.0006417907,0.8959942,0.0005846118,0.0000307749,8.059012e-8,0.07436431,0.002228073,0.001587688,0.00281039,0.01842244,0.000509322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888731,0.0001099281,0.002883613,0.002232762,0.0001325026,0.001928367,0.0003562752,0.0001128632,0.00337056],"genre_scores_gemma":[0.9861973,0.0004587803,0.01159518,0.00004595573,0.0001502528,0.0004412927,0.0004074355,0.00005742437,0.0006464058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1622747,"threshold_uncertainty_score":0.9999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030211151630447,"score_gpt":0.393825506614341,"score_spread":0.3435233950980365,"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."}}