{"id":"W1998898665","doi":"10.1145/2207676.2207733","title":"CrossingGuard","year":2012,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Intersection (aeronautics); Visually impaired; Human–computer interaction; Focus (optics); Task (project management); Orientation and Mobility; Global Positioning System; Orientation (vector space); Artificial intelligence; Computer vision; Transport engineering; 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":[0.0008410745,0.0009700028,0.0006427296,0.001005807,0.000560699,0.001219739,0.001054158,0.0007168316,0.1132344],"category_scores_gemma":[0.002577989,0.000418014,0.0004211594,0.0009779801,0.0002945339,0.001698325,0.00205883,0.0005804116,0.04242327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836537,"about_ca_system_score_gemma":0.00079901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789026,"about_ca_topic_score_gemma":0.002837157,"domain_scores_codex":[0.9994772,0.00004150537,0.00003705246,0.0001945767,0.0001958681,0.00005377831],"domain_scores_gemma":[0.9989506,0.0001678219,0.00006755583,0.0003252225,0.0003426298,0.0001462152],"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":[0.002792797,0.0002766429,0.01053903,0.001151635,0.00005598632,0.0008876479,0.001643689,0.00130254,0.04874022,0.006543717,0.1817736,0.7442925],"study_design_scores_gemma":[0.000193109,0.001509764,0.02712234,0.000403778,0.0001298177,0.004191833,0.001213504,0.01208747,0.03460862,0.00556231,0.9128211,0.0001562955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2140522,0.002094093,0.1510764,0.0009166075,0.001517427,0.002051932,0.05798243,0.1067781,0.4635309],"genre_scores_gemma":[0.4531334,0.001374618,0.1940605,0.00102141,0.0001350577,0.001257319,0.09705231,0.007763462,0.244202],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1132344,"threshold_uncertainty_score":0.3788067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08451786127267293,"score_gpt":0.3384077784938666,"score_spread":0.2538899172211936,"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."}}