{"id":"W2913914075","doi":"10.26190/unsworks/20711","title":"Fairness in Transportation System","year":2018,"lang":"en","type":"article","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.008354325,0.0009729188,0.001322583,0.001298806,0.003537535,0.006288045,0.00197455,0.002387383,0.01051205],"category_scores_gemma":[0.0212098,0.0004349934,0.001641883,0.001687642,0.005374268,0.007536994,0.003392778,0.002866396,0.001294232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006198471,"about_ca_system_score_gemma":0.005873755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006522616,"about_ca_topic_score_gemma":0.002878341,"domain_scores_codex":[0.9892558,0.004190564,0.000691416,0.002204289,0.00258912,0.001068802],"domain_scores_gemma":[0.9913084,0.003827739,0.0009068297,0.001934378,0.001670355,0.0003522687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001854891,0.00001515273,0.0004531782,0.00004858066,0.00001855946,0.00003828144,0.000126622,0.01972558,0.0001782905,0.9670786,0.002005658,0.01029298],"study_design_scores_gemma":[0.00002496876,0.00007470335,0.0004027651,0.00006843093,0.00002881301,0.0001230233,0.0001493455,0.07459477,0.0004094202,0.8900055,0.03408067,0.00003755081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0308194,0.00244215,0.8055758,0.00595172,0.001351187,0.0005993188,0.0005636343,0.0004046625,0.1522921],"genre_scores_gemma":[0.8718067,0.002198152,0.09217433,0.001194443,0.00103838,0.0006730753,0.0003752711,0.0001758958,0.03036372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051205,"threshold_uncertainty_score":0.04497325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972114715017114,"score_gpt":0.2433125965286806,"score_spread":0.2035914493785095,"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."}}