{"id":"W2124997479","doi":"10.1002/atr.5670340204","title":"Optimal feeder bus routes on irregular street networks","year":2000,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headway; Mathematical optimization; Computer science; Intersection (aeronautics); Price elasticity of demand; Computation; Travel time; Routing (electronic design automation); Algorithm; Simulation; Transport engineering; Engineering; Mathematics; 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":[0.0002955197,0.0001139949,0.0001803945,0.0001031281,0.0002449586,0.00003733819,0.0001263639,0.0001001687,0.0003641499],"category_scores_gemma":[0.0000177696,0.0001098312,0.0001138361,0.0002826844,0.00006642395,0.0006215443,1.685574e-7,0.0001925069,0.000005433371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000447768,"about_ca_system_score_gemma":0.00008403975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004993634,"about_ca_topic_score_gemma":0.0003794312,"domain_scores_codex":[0.9986643,0.00005927456,0.0004719865,0.0001276935,0.0004717567,0.0002050394],"domain_scores_gemma":[0.9992184,0.00007792324,0.0002861363,0.00007173481,0.0002205754,0.0001252393],"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":[0.0002774363,0.00006488621,0.003068522,0.00000365647,0.00002123907,0.00002426299,0.005894415,0.9698383,0.0000205495,0.001178875,0.0001653736,0.01944254],"study_design_scores_gemma":[0.004601243,0.001011862,0.9037122,0.0004712864,0.0002711182,0.0000051346,0.01458599,0.002667026,0.0003493933,0.0007195572,0.070887,0.0007181881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814227,0.0002253857,0.01568978,0.0005861591,0.0004088972,0.0001371124,0.00001147462,0.00005286737,0.001465681],"genre_scores_gemma":[0.9886183,0.0006963792,0.009681436,0.00013097,0.0002874933,0.000002491922,0.00007247951,0.0000149572,0.0004955265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9671712,"threshold_uncertainty_score":0.4478785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862064257529433,"score_gpt":0.2634441833847492,"score_spread":0.2548235408094549,"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."}}