{"id":"W2353412533","doi":"","title":"Implementation of Speech Recognition Engine Based on Java Speech API Specification","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Java; Speech recognition; Software; Event (particle physics); Speech processing; State (computer science); Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001917189,0.0002140798,0.0001864795,0.0003037232,0.0001716847,0.00007667168,0.0007664876,0.0000745805,0.0000580561],"category_scores_gemma":[8.185514e-7,0.0002362832,0.0001083945,0.000842593,0.00004306607,0.0003767495,0.00009948293,0.0001496457,0.0002491477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386127,"about_ca_system_score_gemma":0.00007519823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001469145,"about_ca_topic_score_gemma":0.000007966655,"domain_scores_codex":[0.9982412,0.00003632159,0.000573371,0.000594515,0.0003099014,0.000244725],"domain_scores_gemma":[0.9984476,0.0001243263,0.0003105493,0.000704127,0.0003236393,0.00008974035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002586027,0.0001761384,0.00002521462,0.00001142327,0.000007302796,2.879712e-7,0.00004503315,0.001928628,0.005997592,0.01551597,0.001225392,0.9750645],"study_design_scores_gemma":[0.0007779177,0.0001338138,0.002324793,0.00003348436,0.0000182512,0.00002510494,0.00002178591,0.1029537,0.4134626,0.02318899,0.4565699,0.0004896577],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002359662,0.00002334982,0.9905486,0.004377872,0.00001490147,0.001222894,0.00004671347,0.0003885794,0.00101748],"genre_scores_gemma":[0.1200995,0.00001754003,0.8778386,0.0007498351,0.0003034098,0.000685634,0.0002439872,0.00002092272,0.00004057208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9745747,"threshold_uncertainty_score":0.9635349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803503294439674,"score_gpt":0.2979048457079121,"score_spread":0.2798698127635154,"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."}}