{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256879,0.001806309,0.00168625,0.001762963,0.001290518,0.003692784,0.001944695,0.002371478,0.1182332],"category_scores_gemma":[0.003494761,0.000364213,0.00102449,0.00108053,0.000532363,0.002905525,0.002779498,0.001575077,0.2207202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082597,"about_ca_system_score_gemma":0.001747564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088203,"about_ca_topic_score_gemma":0.002056039,"domain_scores_codex":[0.9981872,0.0002123552,0.0002378515,0.0006589112,0.000526316,0.0001773198],"domain_scores_gemma":[0.9985044,0.0001926867,0.00007013312,0.0003059662,0.000844286,0.00008253879],"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":[0.000940754,0.000156023,0.002159216,0.001388393,0.0001265535,0.0009359338,0.0003335791,0.003691408,0.02655194,0.0129941,0.4280236,0.5226985],"study_design_scores_gemma":[0.0001759611,0.0002933918,0.002803339,0.0004182398,0.0001547379,0.001746846,0.0003902783,0.03647987,0.03193462,0.01416583,0.9112219,0.0002149921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02403343,0.01037552,0.3641648,0.00695324,0.009377757,0.003387201,0.08390319,0.1278906,0.3699143],"genre_scores_gemma":[0.200261,0.007487035,0.2285736,0.01137163,0.003396666,0.003532558,0.2090915,0.007230777,0.3290553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1182332,"threshold_uncertainty_score":0.3955295,"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."}}