{"id":"W2073654225","doi":"10.5430/air.v4n1p1","title":"Using a predefined passphrase to evaluate a speaker verification system","year":2014,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speaker verification; Computer science; Biometrics; Variety (cybernetics); Process (computing); Feature (linguistics); Speaker recognition; Focus (optics); Speech recognition; Artificial intelligence; Natural language processing; Programming language; Linguistics","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":[0.007461685,0.001531508,0.0009936198,0.001774351,0.0009133492,0.001514428,0.0006681233,0.001343928,0.003113593],"category_scores_gemma":[0.02400014,0.0002422571,0.0007410633,0.0008553964,0.0007174265,0.001431186,0.001315234,0.0006212483,0.001788155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913704,"about_ca_system_score_gemma":0.0005218969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318518,"about_ca_topic_score_gemma":0.001673406,"domain_scores_codex":[0.9901322,0.003059897,0.001220235,0.001289357,0.003895173,0.0004030749],"domain_scores_gemma":[0.9786739,0.01084765,0.002000156,0.002345268,0.005631623,0.0005014621],"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":[0.008293963,0.001785341,0.05400603,0.001919727,0.001076102,0.0007368829,0.002558165,0.01264791,0.4154055,0.001903456,0.006078314,0.4935886],"study_design_scores_gemma":[0.000503068,0.02433706,0.2638136,0.0001629633,0.0006590703,0.002999665,0.002144519,0.1577677,0.5331576,0.001748834,0.01213254,0.0005734258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211433,0.0005122186,0.06978961,0.00007711779,0.0001934672,0.001041665,0.001409784,0.001790463,0.004042408],"genre_scores_gemma":[0.9214254,0.0002041065,0.07085074,0.00008214763,0.00006347659,0.0009551624,0.002559089,0.0001970965,0.003662765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007461685,"threshold_uncertainty_score":0.03946161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3227113673669672,"score_gpt":0.4872202259271605,"score_spread":0.1645088585601934,"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."}}