{"id":"W197092217","doi":"","title":"WebVoice: Speech Access to Traditional Web Content for Blind Users","year":2009,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; World Wide Web; Speech recognition; Multimedia","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":[0.0004475225,0.0005588625,0.0004131888,0.0008691322,0.0004803073,0.001150292,0.0008126113,0.0007642796,0.1220989],"category_scores_gemma":[0.001586535,0.000284451,0.00027254,0.0003488481,0.0003342056,0.001212162,0.002080383,0.0003197924,0.03955211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479191,"about_ca_system_score_gemma":0.00036823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218035,"about_ca_topic_score_gemma":0.002498877,"domain_scores_codex":[0.9998272,0.00002028074,0.00001171409,0.00002824599,0.00006971256,0.00004294542],"domain_scores_gemma":[0.9992465,0.0001817857,0.00003326496,0.0001721645,0.0001753588,0.00019105],"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":[0.001640872,0.0004111062,0.002204507,0.0006521888,0.00003117017,0.001160609,0.00115903,0.0001489038,0.08120733,0.003676816,0.3117135,0.595994],"study_design_scores_gemma":[0.0006491281,0.0009125854,0.04079537,0.0004629426,0.00009286752,0.00544966,0.0009718942,0.008590989,0.1024901,0.007017755,0.8322616,0.0003051425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1645153,0.002071538,0.2108377,0.001041875,0.0008307317,0.001507404,0.01344221,0.3421678,0.2635854],"genre_scores_gemma":[0.3419811,0.002002483,0.07345757,0.0008500535,0.0005605918,0.000867821,0.01528757,0.01825093,0.5467418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1220989,"threshold_uncertainty_score":0.4084614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1944577057821317,"score_gpt":0.3150855554184378,"score_spread":0.1206278496363061,"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."}}