{"id":"W4392515967","doi":"10.1007/s11116-024-10474-9","title":"Correction to: Advances and pitfalls in measuring transportation equityTransportation","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Regional science; Data science; Computer science; Operations research; Transport engineering; Management science; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004987073,0.002726244,0.002668838,0.005061393,0.004238217,0.007313333,0.00388695,0.00788023,0.09074174],"category_scores_gemma":[0.1049984,0.001488915,0.001595579,0.006062588,0.003049751,0.003650587,0.003528994,0.01401809,0.05551768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005430563,"about_ca_system_score_gemma":0.01127412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06626333,"about_ca_topic_score_gemma":0.05509364,"domain_scores_codex":[0.9928445,0.001162614,0.001440788,0.00100955,0.00284936,0.000693245],"domain_scores_gemma":[0.9181724,0.01575728,0.003463109,0.006467096,0.05342488,0.002715262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002494255,0.000003205126,0.00008999794,0.0000887989,0.000006607718,0.00005078903,0.00002540543,0.00006034062,0.00002112106,0.0006031304,0.9955835,0.003442269],"study_design_scores_gemma":[0.00004751275,0.00001435454,0.001361633,0.0003539283,0.00002936506,0.0001717494,0.0001852622,0.0004944865,0.0003215798,0.001763597,0.9952034,0.00005315556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001809645,0.001072217,0.001128063,0.05368844,0.9371015,0.00002978646,0.00349919,0.0005990683,0.002700735],"genre_scores_gemma":[0.03439806,0.01149914,0.01232889,0.1201841,0.4859075,0.0005782548,0.009600144,0.004758152,0.3207457],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09074174,"threshold_uncertainty_score":0.3035613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205242062143959,"score_gpt":0.3020901416884867,"score_spread":0.2815659354740909,"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."}}