{"id":"W570766301","doi":"","title":"BOOSTING TRANSIT IN THE DIRECT VICINITY OF A LARGE URBAN OPERATOR","year":2011,"lang":"en","type":"article","venue":"CONGRESS - DUBAI 2011","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Transport engineering; Rapid transit; Light rail transit; Telecommunications; Rail transit; Presentation (obstetrics); Operator (biology); Business; Engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005055165,0.000189927,0.0001214306,0.0002978815,0.005241513,0.0021209,0.000583621,0.0007784449,0.01305943],"category_scores_gemma":[0.001148979,0.0001114548,0.0001075373,0.0002900994,0.001289197,0.001025163,0.003095018,0.0006741079,0.001630247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376111,"about_ca_system_score_gemma":0.00293848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0366875,"about_ca_topic_score_gemma":0.1459652,"domain_scores_codex":[0.9995387,0.0001980863,0.000003978497,0.00005731771,0.00004477897,0.0001572418],"domain_scores_gemma":[0.9992254,0.00006815423,0.00007416906,0.00002955834,0.0001295394,0.0004731888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006164568,0.002043711,0.2222867,0.0003518075,0.00005603711,0.01270409,0.1794708,0.003814529,0.02414891,0.117177,0.1515704,0.2857596],"study_design_scores_gemma":[0.00007852331,0.001427779,0.1373528,0.0001704952,0.00006223126,0.002332519,0.2440324,0.004979502,0.002899491,0.007951358,0.5986503,0.0000624859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8027126,0.0003264192,0.002375701,0.009482631,0.0001897415,0.00008001307,0.00004023332,0.0001049377,0.1846877],"genre_scores_gemma":[0.9754683,0.0001487994,0.0005213938,0.0003577576,0.00005685462,0.00001094144,0.00001422115,0.00001080212,0.02341096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366875,"threshold_uncertainty_score":0.07294792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07811649777383235,"score_gpt":0.2867734705683068,"score_spread":0.2086569727944745,"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."}}