{"id":"W2011817192","doi":"10.1109/embc.2012.6346342","title":"Indoor magnetic navigation for the blind","year":2012,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"National Eye Institute","keywords":"Computer science; Frame (networking); Navigation system; Computer vision; Wireless; Real-time computing; Radio navigation; Human–computer interaction; Simulation; Telecommunications; Global Positioning System","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":[0.0004124227,0.0004294002,0.0002622506,0.0003247113,0.0005143143,0.0005741537,0.0003162385,0.0004594436,0.003461991],"category_scores_gemma":[0.001266437,0.000108627,0.0002131327,0.0001513743,0.0004424654,0.0005056339,0.0007989012,0.0001942326,0.0008350803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923768,"about_ca_system_score_gemma":0.00114025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005467965,"about_ca_topic_score_gemma":0.009098595,"domain_scores_codex":[0.9997599,0.00007782105,0.00001074172,0.00002874989,0.00008853216,0.00003433771],"domain_scores_gemma":[0.9996877,0.00003959966,0.00003730098,0.00004179034,0.0001451863,0.00004851945],"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":[0.00071397,0.0001735442,0.0102495,0.0007463599,0.00004360394,0.0004379718,0.0007120654,0.002245705,0.1226921,0.004449097,0.01153603,0.846],"study_design_scores_gemma":[0.0005644719,0.01491724,0.1693921,0.002143475,0.0008837687,0.02120448,0.005764575,0.05134272,0.2389532,0.02300934,0.4711009,0.0007237413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5482391,0.01058209,0.3958198,0.00197392,0.0007232046,0.0003482892,0.0004722668,0.006118236,0.0357231],"genre_scores_gemma":[0.8764625,0.002421267,0.1088038,0.0002341769,0.00007737777,0.00009533235,0.0001469455,0.00007218649,0.01168644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005467965,"threshold_uncertainty_score":0.01158148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08254071415014949,"score_gpt":0.3332603767530845,"score_spread":0.250719662602935,"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."}}