{"id":"W4403576926","doi":"10.1145/3663548.3688548","title":"Accessible Bus Stop Preview for Visually Impaired","year":2024,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Visually impaired; Computer graphics (images); Computer vision; Human–computer interaction","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":[0.0005044097,0.0006091514,0.000256455,0.0005407422,0.0002672781,0.000698054,0.0006624092,0.0005560717,0.005703527],"category_scores_gemma":[0.00271353,0.0001193848,0.0002696586,0.0001629497,0.0003246828,0.001255826,0.001068526,0.000326191,0.0009057063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195116,"about_ca_system_score_gemma":0.0004658598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521036,"about_ca_topic_score_gemma":0.002831454,"domain_scores_codex":[0.9998083,0.00006343722,0.00001201097,0.00003128121,0.00004848488,0.00003652578],"domain_scores_gemma":[0.9991158,0.0003294223,0.00009880086,0.0001030292,0.0002432601,0.0001096548],"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":[0.002576209,0.001827577,0.0456926,0.003861608,0.0001045305,0.005093192,0.02918736,0.00322811,0.1880249,0.004114704,0.01411404,0.7021752],"study_design_scores_gemma":[0.0009024581,0.01721605,0.3714895,0.003116878,0.001171264,0.02876499,0.08882301,0.03886622,0.1863606,0.01597701,0.2466037,0.0007084218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9464358,0.0009092209,0.03814441,0.000442059,0.00009294071,0.0002184012,0.0003697217,0.001905521,0.01148186],"genre_scores_gemma":[0.9681227,0.0005722902,0.02603521,0.0001665974,0.00003251084,0.0001827378,0.0002184433,0.00004135232,0.004628152],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005703527,"threshold_uncertainty_score":0.01908022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117138763197686,"score_gpt":0.4042939153772176,"score_spread":0.2925800390574489,"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."}}