{"id":"W2073726603","doi":"10.1007/s11036-012-0425-8","title":"Spatialized Audio Environmental Awareness for Blind Users with a Smartphone","year":2012,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"University of California, Santa Barbara","keywords":"Computer science; Rendering (computer graphics); Human–computer interaction; Multimedia; Interface (matter); Point of interest; User interface; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002713186,0.0001100112,0.0001103917,0.00002972442,0.000396729,0.00004121772,0.00007303248,0.00004804746,0.00007206966],"category_scores_gemma":[0.000004637743,0.00009201551,0.00003646145,0.0001060679,0.00009309244,0.0001634741,0.0000219247,0.00008788562,0.00001855966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002069864,"about_ca_system_score_gemma":0.000008880327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124733,"about_ca_topic_score_gemma":0.00001387974,"domain_scores_codex":[0.9992972,0.00002034597,0.0001232775,0.0002346137,0.00007375098,0.0002507814],"domain_scores_gemma":[0.9993881,0.0002139983,0.00006857849,0.0002031032,0.000006950584,0.0001192672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002536962,0.007241011,0.1213834,0.0001441052,0.0002492972,0.000006429408,0.002444859,0.1631704,0.4669911,0.02133602,0.01437605,0.2001203],"study_design_scores_gemma":[0.002100955,0.0002044112,0.004468559,0.00001528496,0.0001040159,0.00007175557,0.0004843489,0.01401306,0.0367593,0.0000820719,0.9412371,0.0004591444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8026763,0.0001071799,0.1943141,0.00009806088,0.0001631959,0.001869272,0.0001033578,0.00008285877,0.0005856916],"genre_scores_gemma":[0.9948297,0.0001332266,0.0001435498,0.0002545053,0.0003710375,0.003695094,0.00003369394,0.00001982534,0.0005194324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.926861,"threshold_uncertainty_score":0.3752284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489363684512816,"score_gpt":0.2762318165257507,"score_spread":0.2513381796806226,"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."}}