{"id":"W3216371813","doi":"","title":"Pedestrian Risk and Social Equity: The Spatial Distribution of Roadway Environment Features in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Equity (law); Social equality; Geography; Political science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01029894,0.0002897051,0.0004503751,0.0002095059,0.002621236,0.000149829,0.0008117227,0.0003156338,0.0006484919],"category_scores_gemma":[0.0004280013,0.0002554973,0.0001309871,0.001024888,0.003595682,0.0006725742,0.00002580196,0.001294288,0.000006186601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045002,"about_ca_system_score_gemma":0.002086121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98834,"about_ca_topic_score_gemma":0.9984926,"domain_scores_codex":[0.989646,0.002189661,0.001062184,0.0008412289,0.004747741,0.001513181],"domain_scores_gemma":[0.996349,0.001017811,0.0002882625,0.0003841642,0.001569073,0.0003916546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001533223,0.0003348715,0.8954765,0.0002633534,0.00007537889,0.00004521775,0.06090666,0.00004631362,0.0002339878,0.00765957,0.003615102,0.02980979],"study_design_scores_gemma":[0.0008755032,0.0002412545,0.9281158,0.00005643563,0.00003105325,3.421241e-8,0.04082628,0.00002196472,0.0003610505,0.001014457,0.02821979,0.000236379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900992,0.0005318894,0.0002886058,0.003492434,0.0001695114,0.001628754,0.001366493,0.00004601833,0.002377121],"genre_scores_gemma":[0.997552,0.0008137997,0.00008562595,0.000038109,0.0004634914,0.0001664585,0.0004945605,0.00003166077,0.0003542357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03263925,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090076148111015,"score_gpt":0.3851137147472891,"score_spread":0.344212953266179,"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."}}