{"id":"W568498514","doi":"","title":"LSTAR: A New Way of Moving for Central and South Texas","year":2011,"lang":"en","type":"article","venue":"Mass transit","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; Transport engineering; Service (business); Mile; Traffic congestion; Rail transportation; Geography; Engineering; Business; Archaeology; Marketing","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":[0.0009770409,0.0004228252,0.0001617133,0.000821946,0.006817643,0.007159646,0.0008792807,0.002554782,0.1632885],"category_scores_gemma":[0.001250044,0.0002921701,0.0003352386,0.0007993451,0.0009772745,0.003748477,0.003951455,0.003188933,0.03550417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209394,"about_ca_system_score_gemma":0.01030804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02725499,"about_ca_topic_score_gemma":0.07884367,"domain_scores_codex":[0.9993573,0.00008385628,0.00003210641,0.0001056406,0.0002061619,0.00021488],"domain_scores_gemma":[0.998737,0.00005299114,0.00004017951,0.00009340473,0.0002280022,0.0008484253],"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":[0.00003425466,0.00006504933,0.001615966,0.00003660397,0.000002818533,0.000343681,0.001567732,0.00008925197,0.0005853184,0.01876942,0.8903172,0.08657274],"study_design_scores_gemma":[0.000005922304,0.00001691623,0.00103886,0.00001618124,0.000001247933,0.00004778536,0.0009258615,0.00006077582,0.00005962834,0.0004410236,0.9973782,0.000007667781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0305652,0.001753117,0.01066995,0.1160809,0.01150604,0.0005200451,0.001692955,0.007146874,0.8200648],"genre_scores_gemma":[0.03499641,0.0008900558,0.01233477,0.008472282,0.000927701,0.0001883922,0.001212623,0.0006551298,0.9403228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1632885,"threshold_uncertainty_score":0.5462546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889384760793355,"score_gpt":0.1800500025364626,"score_spread":0.1511561549285291,"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."}}