{"id":"W4364381334","doi":"10.32920/19027538.v1","title":"From mandate to movement: making Toronto fully accessible","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mandate; Legislation; Web accessibility; Plan (archaeology); Urban design; Urban planning; Political science; Public administration; Public relations; Computer science; Engineering; Geography; Civil engineering; World Wide Web; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002752903,0.0002679096,0.0001571121,0.0006350408,0.01399668,0.005386233,0.001315548,0.001509422,0.01497536],"category_scores_gemma":[0.00518831,0.0003157468,0.0003267917,0.001329189,0.01233637,0.003906944,0.009766212,0.002088526,0.001028171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05485464,"about_ca_system_score_gemma":0.09882405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8869488,"about_ca_topic_score_gemma":0.9573658,"domain_scores_codex":[0.9963737,0.001196169,0.0001138496,0.0003065355,0.0008098486,0.001199773],"domain_scores_gemma":[0.9965275,0.0005327628,0.0001771153,0.0002711897,0.0007082649,0.001783172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005721848,0.00006029244,0.01386211,0.0004650771,0.00001621055,0.001263903,0.2977798,0.001148602,0.000925804,0.4077958,0.176306,0.1003192],"study_design_scores_gemma":[0.00001333113,0.00004323626,0.01833289,0.0004170129,0.00001361669,0.0001089048,0.1410349,0.0003672132,0.0003266479,0.0116148,0.827691,0.00003647987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1692204,0.003891868,0.01098239,0.1078371,0.0009408011,0.0002950113,0.0005436224,0.0003341268,0.7059546],"genre_scores_gemma":[0.8861228,0.001898006,0.005914872,0.004838691,0.00006992527,0.0001828531,0.0003142479,0.0001165328,0.100542],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1130512,"threshold_uncertainty_score":0.3980001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07397500767898232,"score_gpt":0.3886133142442301,"score_spread":0.3146383065652478,"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."}}