{"id":"W2803651222","doi":"10.13140/2.1.1981.7920","title":"RUTALKING2ME? AN ASSISTIVE DEVICE COMBINING BEAMFORMING AND SPEECH RECOGNITION","year":2013,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Assistive device; Speech recognition; Computer science; Beamforming; Human–computer interaction; Artificial intelligence; Physical medicine and rehabilitation; Telecommunications; Medicine","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":[0.0003185567,0.001084695,0.0006787989,0.0003671478,0.000318288,0.0006611031,0.0009940506,0.001169498,0.04317793],"category_scores_gemma":[0.0005108197,0.0003060093,0.0003346303,0.0001731174,0.0002138718,0.001138542,0.0009808564,0.0004119337,0.01216916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009216669,"about_ca_system_score_gemma":0.0001665187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141186,"about_ca_topic_score_gemma":0.0008773317,"domain_scores_codex":[0.9997873,0.00003591228,0.00001358257,0.00005830394,0.00007805575,0.00002691475],"domain_scores_gemma":[0.9998367,0.0000532689,0.00001041366,0.00003026182,0.00004735269,0.00002211343],"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":[0.001833073,0.000238628,0.00103983,0.0007462592,0.0001138205,0.001020119,0.0002255453,0.001344712,0.42301,0.00309559,0.03181531,0.5355172],"study_design_scores_gemma":[0.0007131,0.003326916,0.0093701,0.0003098238,0.000468625,0.01511994,0.0003794994,0.07088307,0.5904576,0.004368819,0.3040732,0.0005292367],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09129453,0.002716831,0.7956333,0.001117538,0.001345645,0.0004924936,0.003056101,0.04551633,0.05882723],"genre_scores_gemma":[0.5405261,0.000995102,0.2986799,0.002459076,0.0003889943,0.000390513,0.002764931,0.00134446,0.152451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04317793,"threshold_uncertainty_score":0.1444446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549087385093126,"score_gpt":0.2509071963292314,"score_spread":0.2254163224783002,"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."}}