{"id":"W2005672442","doi":"10.1007/s10776-012-0194-0","title":"Anonymous Indoor Navigation System on Handheld Mobile Devices for Visually Impaired","year":2012,"lang":"en","type":"article","venue":"International Journal of Wireless Information Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"CNIB Foundation; University of Toronto","funders":"","keywords":"Computer science; Navigation system; Real-time computing; Computer vision; Mobile device; Visually impaired; Kalman filter; Tracking system; Tracking (education); Wireless; Artificial intelligence; Location tracking; Embedded system; Human–computer interaction; Telecommunications","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":[0.0001787152,0.0004371842,0.0004962528,0.0003873993,0.000601185,0.0003808897,0.0006727983,0.0004748421,0.005437238],"category_scores_gemma":[0.0003553551,0.0001271775,0.0002441527,0.0002444588,0.0001151657,0.0003392712,0.0006451482,0.0002230231,0.001437212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951889,"about_ca_system_score_gemma":0.0005858282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005417015,"about_ca_topic_score_gemma":0.008033043,"domain_scores_codex":[0.999761,0.00004850072,0.00001175352,0.00005426365,0.00007589788,0.00004845943],"domain_scores_gemma":[0.9997001,0.00002900123,0.00002264878,0.00004888009,0.0001605473,0.00003887973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005307045,0.0008627976,0.05620591,0.0004837041,0.0001805026,0.004344712,0.001653086,0.005817936,0.3607799,0.002322755,0.02692424,0.5351174],"study_design_scores_gemma":[0.0009333201,0.006931029,0.2624303,0.0002911867,0.00164302,0.010103,0.003089404,0.248306,0.3829526,0.002626746,0.08019524,0.0004982611],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813527,0.0003390247,0.09633001,0.0001626875,0.0002714345,0.0001832057,0.0008611466,0.00805492,0.01244487],"genre_scores_gemma":[0.9724689,0.0001020112,0.01506563,0.00007747859,0.00002916441,0.00007299044,0.0002607069,0.00005238336,0.01187073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005437238,"threshold_uncertainty_score":0.01818931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006454158641832048,"score_gpt":0.2384792132185163,"score_spread":0.2320250545766843,"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."}}