{"id":"W2293888193","doi":"","title":"LRRP SpeechWebs","year":2004,"lang":"en","type":"article","venue":"Conference on Communication Networks and Services Research","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Hyperlink; Architecture; The Internet; Speech analytics; World Wide Web; Web page; Speech synthesis; Speech recognition; Speech corpus","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":[0.001205554,0.0001168536,0.0001510509,0.0001581629,0.0005040459,0.0006932281,0.002109322,0.0001128362,0.00001955165],"category_scores_gemma":[0.00001312605,0.0001022417,0.00002756603,0.0005720424,0.0001348936,0.000378575,0.0007869069,0.0004885954,0.0001331589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004665481,"about_ca_system_score_gemma":0.0001071292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004642948,"about_ca_topic_score_gemma":0.0005555072,"domain_scores_codex":[0.9982698,0.0003581914,0.0002073993,0.0003361233,0.000434121,0.0003943497],"domain_scores_gemma":[0.9975943,0.0002281948,0.00005932985,0.001556606,0.0003768746,0.0001847026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003064657,0.0001115518,0.0004150118,0.00003320807,0.00001431549,0.000006635011,0.001511594,0.001085109,0.00009821956,0.9277794,0.0002567708,0.06865747],"study_design_scores_gemma":[0.003058774,0.0009953468,0.01964403,0.001311869,0.000006996827,0.00005025406,0.002767727,0.6301696,0.001026294,0.3102419,0.02974983,0.0009773507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2239037,0.01815689,0.3308512,0.04350632,0.001073299,0.002664517,0.00001033231,0.001094019,0.3787397],"genre_scores_gemma":[0.9937149,0.00295072,0.002691843,0.0003561753,0.00006709206,0.00003629463,0.0000163694,0.000007393285,0.0001591548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7698113,"threshold_uncertainty_score":0.6684814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0761207002343366,"score_gpt":0.3511730361322229,"score_spread":0.2750523358978864,"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."}}