{"id":"W2887645288","doi":"10.1155/2018/6292410","title":"A Methodology for Choosing between Route Deviation and Point Deviation Policies for Flexible Transit Services","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Transit (satellite); Point (geometry); Service (business); Computer science; Standard deviation; Absolute deviation; Transport engineering; Function (biology); Operations research; Mathematical optimization; Public transport; Economics; Engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006920833,0.001425321,0.001379913,0.002518011,0.0009108194,0.00146754,0.002033913,0.001334449,0.003081176],"category_scores_gemma":[0.01373792,0.0006337599,0.001504934,0.00161156,0.001098579,0.001594113,0.001420362,0.001805399,0.0003625491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857183,"about_ca_system_score_gemma":0.003550682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747699,"about_ca_topic_score_gemma":0.003561695,"domain_scores_codex":[0.996366,0.001758777,0.0002350193,0.0005762012,0.0007999812,0.000264009],"domain_scores_gemma":[0.9929739,0.004353083,0.0009243911,0.0003542406,0.001193789,0.0002006566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001623869,0.0002670986,0.003112903,0.0002909143,0.0001533679,0.000243066,0.0002641924,0.7586806,0.006799536,0.058889,0.001712643,0.1694243],"study_design_scores_gemma":[0.00003336219,0.0001628663,0.0003537997,0.00002805833,0.00004799224,0.00008543858,0.00006232652,0.9845389,0.002459781,0.01063438,0.001556136,0.00003690465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004267821,0.00005079577,0.9945682,0.00005118626,0.00001189107,0.0001890915,0.00002311301,0.0001375177,0.0007003769],"genre_scores_gemma":[0.1887823,0.000169267,0.8094602,0.00007681463,0.00002646104,0.0004931093,0.00009761671,0.0000707636,0.0008233878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006920833,"threshold_uncertainty_score":0.03660131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05637042915589989,"score_gpt":0.3773487788453577,"score_spread":0.3209783496894578,"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."}}