{"id":"W1519413051","doi":"10.1002/atr.185","title":"Integrated smart feeder/shuttle transit service: simulation of new routing strategies","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Routing (electronic design automation); Operations research; Service (business); Transport engineering; Construct (python library); Computer science; Simulation; Engineering; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511122,0.0001118597,0.0002271734,0.0001603052,0.0001303093,0.00002292277,0.0001283214,0.0001034757,0.0001435143],"category_scores_gemma":[0.00003633772,0.0001094496,0.000100274,0.0005349288,0.00004571222,0.001302901,3.162211e-7,0.0001545138,0.000001568135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003473563,"about_ca_system_score_gemma":0.0004569143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009749,"about_ca_topic_score_gemma":0.004046574,"domain_scores_codex":[0.9985534,0.00005780416,0.000732233,0.0001082504,0.000393766,0.0001545756],"domain_scores_gemma":[0.9983044,0.0000698991,0.0006975154,0.0000640243,0.0007561148,0.0001080698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003405161,0.0000631755,0.00556462,0.00002868322,0.00003548209,0.000006053289,0.1373584,0.847694,0.001089404,0.002754216,0.00001025571,0.005055172],"study_design_scores_gemma":[0.003986533,0.0005367845,0.7924333,0.0006780584,0.0004176968,0.000002643872,0.1829735,0.003872329,0.004105089,0.007047161,0.003420532,0.0005264231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7487068,0.00008514481,0.2492476,0.0001680742,0.0003784964,0.0001491963,0.00001158344,0.00004452242,0.001208591],"genre_scores_gemma":[0.9772563,0.00007224904,0.02244035,0.00003430585,0.00006826374,8.060294e-7,0.00005347493,0.00001329613,0.00006097699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8438217,"threshold_uncertainty_score":0.4463227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355373849364589,"score_gpt":0.3022844932395727,"score_spread":0.2667471083031138,"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."}}