{"id":"W6929093954","doi":"10.4224/20374496","title":"Evaluations of new speech security quick test","year":2009,"lang":"en","type":"report","venue":"NPARC","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Voice activity detection; Speech processing; Security testing; Speech technology","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":[0.006289613,0.001246801,0.0008071024,0.001924193,0.0006847861,0.0009567715,0.002241993,0.001007524,0.003739829],"category_scores_gemma":[0.01368632,0.000286897,0.0005206907,0.0004973358,0.000552859,0.001401965,0.001278681,0.0008506523,0.001738172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601629,"about_ca_system_score_gemma":0.0009013656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002113056,"about_ca_topic_score_gemma":0.003208674,"domain_scores_codex":[0.9873105,0.002996665,0.0006217172,0.0007343739,0.007930149,0.0004066089],"domain_scores_gemma":[0.981779,0.00345826,0.001058714,0.0009357372,0.01188015,0.0008882232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01113473,0.005130954,0.1164537,0.000974918,0.0003950621,0.001567471,0.002059842,0.01414243,0.4653086,0.002329351,0.01419483,0.3663081],"study_design_scores_gemma":[0.0004937924,0.05437634,0.08293366,0.0001900663,0.0005912153,0.003831391,0.001606313,0.02971934,0.7802671,0.0007510516,0.04484317,0.0003965793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910417,0.001698222,0.06475749,0.000662792,0.001270283,0.001231018,0.001185764,0.001760311,0.01701706],"genre_scores_gemma":[0.9403446,0.0006421037,0.03737061,0.0005228539,0.000227665,0.0006227258,0.002331833,0.0002002408,0.01773733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006289613,"threshold_uncertainty_score":0.03326309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495048689772512,"score_gpt":0.3499800277728932,"score_spread":0.3250295408751681,"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."}}