{"id":"W2356198013","doi":"","title":"Speech Recognition System Based on the Embedded WinCE OS","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Booting; Windows CE; Embedded system; Microprocessor; Operating system; Interface (matter); Computer hardware; Software; Microsoft Windows","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008738975,0.0009529278,0.001169692,0.001061438,0.0003124344,0.001142116,0.001607876,0.0004841307,0.02349406],"category_scores_gemma":[0.001776034,0.0003175739,0.0003362784,0.0006127079,0.0002526979,0.00138272,0.0007837068,0.0006917132,0.01103587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336174,"about_ca_system_score_gemma":0.0009154545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000834279,"about_ca_topic_score_gemma":0.0006631918,"domain_scores_codex":[0.9991509,0.00007550902,0.0001000569,0.0002483758,0.0003397744,0.00008541935],"domain_scores_gemma":[0.9990098,0.0001432857,0.00004440932,0.0001710396,0.0005707745,0.00006059126],"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":[0.00140384,0.0001778624,0.001840465,0.0007857115,0.0001484627,0.0007566295,0.0003302369,0.003603859,0.3714706,0.01026726,0.03450955,0.5747054],"study_design_scores_gemma":[0.0005322272,0.0009141939,0.005169789,0.0001564633,0.0004098914,0.003549339,0.0001628961,0.1322694,0.6686576,0.004196136,0.1836749,0.000307155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06369857,0.0009946652,0.8088335,0.0003182745,0.0007292744,0.0008043683,0.002389574,0.09494942,0.02728225],"genre_scores_gemma":[0.4022268,0.00109372,0.5188078,0.001010055,0.0003898137,0.00126964,0.009319918,0.006140048,0.05974215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02349406,"threshold_uncertainty_score":0.07859546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399093810567482,"score_gpt":0.194644125479428,"score_spread":0.1806531873737532,"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."}}