{"id":"W4413604524","doi":"10.64628/aam.y9ytpvnwq","title":"Transportation apps can help people with disabilities navigate public transit but accessibility lags behind","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Public transport; Internet privacy; Transit (satellite); Business; Transport engineering; Advertising; Computer science; Engineering","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":[0.0004167328,0.0007728069,0.0002379967,0.0009465822,0.0005961302,0.002264177,0.0002974436,0.001182442,0.05727476],"category_scores_gemma":[0.004196072,0.0001712824,0.0004624638,0.0007341477,0.0002988697,0.003004886,0.001794826,0.0005751544,0.009954358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167002,"about_ca_system_score_gemma":0.0006923467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194016,"about_ca_topic_score_gemma":0.006213246,"domain_scores_codex":[0.9997162,0.00006617563,0.00001242826,0.00003374993,0.0001073879,0.00006409652],"domain_scores_gemma":[0.99893,0.000470441,0.00005788104,0.0001136443,0.000328985,0.00009895241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005407981,0.0007695375,0.01299711,0.001133653,0.00007772141,0.0009232255,0.00299366,0.0008593682,0.006516315,0.0222264,0.2413658,0.7095965],"study_design_scores_gemma":[0.0002491621,0.0008406551,0.04492841,0.001494569,0.0006152145,0.001788053,0.01056038,0.01113568,0.01164483,0.08840512,0.828221,0.0001170252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3134976,0.004423627,0.0834798,0.02101686,0.003540314,0.0008211995,0.007684666,0.01046173,0.5550742],"genre_scores_gemma":[0.7447051,0.005745216,0.04686886,0.002226603,0.001031342,0.0006870565,0.004425936,0.0009324872,0.1933775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05727476,"threshold_uncertainty_score":0.1916032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834667657247814,"score_gpt":0.2567679256393412,"score_spread":0.2184212490668631,"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."}}