{"id":"W4246810992","doi":"10.32920/ryerson.14661837","title":"Enabling engagement: an exploration of accessibility planning from Berlin to Toronto","year":2021,"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; University of Toronto","funders":"","keywords":"Legislation; Disabled people; Work (physics); Public relations; Perception; Political science; Landmark; Sociology; Psychology; Computer science; Engineering; Applied psychology","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":[0.001518984,0.000524187,0.0002521807,0.001415112,0.01554298,0.009535406,0.00141246,0.001254961,0.01072349],"category_scores_gemma":[0.002588916,0.0004342903,0.0004472142,0.003897904,0.01204526,0.003633125,0.007753383,0.001604883,0.0004815841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07631987,"about_ca_system_score_gemma":0.03382228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8282363,"about_ca_topic_score_gemma":0.9146081,"domain_scores_codex":[0.9973678,0.001411294,0.0000626754,0.0001372632,0.0002833532,0.0007376306],"domain_scores_gemma":[0.9983455,0.0008104095,0.0001383886,0.00007585774,0.0001548968,0.0004748752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007958413,0.00004396243,0.005624556,0.0003688703,0.00002281577,0.002570749,0.6820918,0.002707967,0.0006263715,0.2710807,0.008642093,0.02614055],"study_design_scores_gemma":[0.00001728662,0.00004293521,0.01222047,0.0005087606,0.00003105141,0.000315281,0.6742688,0.001168044,0.0003606057,0.01387,0.2971551,0.00004165919],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4704031,0.006276536,0.009176691,0.01497707,0.0001808488,0.0002370862,0.0006899053,0.0001236187,0.4979351],"genre_scores_gemma":[0.978092,0.002279982,0.002101524,0.0002122329,0.0000102777,0.00007805691,0.0001290687,0.00003745476,0.0170594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1717637,"threshold_uncertainty_score":0.5537419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711303536587018,"score_gpt":0.4102154438218358,"score_spread":0.2390850901631341,"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."}}