{"id":"W4393068745","doi":"10.55041/ijsrem29567","title":"SPEECH RECOGNITION SYSTEM","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Software deployment; Implementation; Adaptability; Field (mathematics); Data science; Artificial intelligence; Human–computer interaction; Software engineering","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":[0.003975761,0.00006258817,0.00009255459,0.001943757,0.00005996602,0.0009428932,0.0003038026,0.00002230435,0.00001263171],"category_scores_gemma":[0.00003619316,0.00005293692,0.00005661686,0.0008888404,0.00004419117,0.0005456159,0.0001151258,0.0002378167,0.00005562843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009970603,"about_ca_system_score_gemma":0.00002414108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002580782,"about_ca_topic_score_gemma":7.447947e-7,"domain_scores_codex":[0.9985453,0.00006184792,0.0002944642,0.0002084921,0.0006926486,0.0001972351],"domain_scores_gemma":[0.9994156,0.0001976441,0.00002381368,0.00009400069,0.0001906998,0.00007827995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001014308,0.00004455466,0.00001078049,0.0008003946,0.00005952168,0.001475313,0.0001253162,0.0000827815,0.0008725364,0.02551646,0.001320981,0.9696812],"study_design_scores_gemma":[0.001554441,0.000349802,0.003858156,0.03383511,0.00003957019,0.005364117,0.001562453,0.8370852,0.01209846,0.0130286,0.0905676,0.0006564119],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154464,0.003675517,0.4566659,0.003883022,0.01027007,0.0005357704,0.00001106224,0.0002255625,0.009286658],"genre_scores_gemma":[0.974488,0.0001621981,0.02494418,0.000005508324,0.00008365358,0.000007779609,0.000001003647,0.000005417651,0.0003022982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9690248,"threshold_uncertainty_score":0.909234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810367408651197,"score_gpt":0.3209838351931863,"score_spread":0.2528801611066743,"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."}}