{"id":"W2328394646","doi":"10.1097/01.hj.0000292838.52117.b1","title":"SII PREDICTIONS OF AIDED SPEECH RECOGNITION","year":2004,"lang":"en","type":"article","venue":"The Hearing Journal","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Disability Prevention and Rehabilitation","funders":"","keywords":"Audiology; Hearing loss; Consonant; Speech perception; Psychology; QUIET; Hearing aid; Population; Perception; Speech recognition; Medicine; Computer science","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":[0.001098576,0.0006958824,0.0002827052,0.0008768686,0.0001422501,0.0005873708,0.0002188818,0.0003427223,0.001355344],"category_scores_gemma":[0.007915713,0.0002338141,0.0003707559,0.0001699296,0.0002369278,0.0004826714,0.0004404761,0.0003356561,0.001234343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446616,"about_ca_system_score_gemma":0.0001947491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512974,"about_ca_topic_score_gemma":0.001991408,"domain_scores_codex":[0.9996308,0.00007332925,0.00003437122,0.00009664812,0.0001158921,0.00004896124],"domain_scores_gemma":[0.9966786,0.001959362,0.000410153,0.0001500733,0.0005231802,0.000278697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005944545,0.00007085062,0.9432172,0.00003372686,0.00007860951,0.0002046448,0.0002769743,0.01351269,0.00868386,0.0002027555,0.0004517005,0.03267255],"study_design_scores_gemma":[0.00002176941,0.0004589499,0.8573706,0.00001587619,0.00003940702,0.0007318669,0.0003110902,0.1317589,0.008248051,0.0005301866,0.0004804308,0.00003286099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991726,0.0001120271,0.005864255,0.00002744809,0.00001130096,0.00001363602,0.0004491881,0.000160462,0.001635634],"genre_scores_gemma":[0.9980103,0.00003002125,0.001203918,0.000006552889,0.000004434257,0.000007881403,0.0004845801,0.00001174468,0.0002406522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002512974,"threshold_uncertainty_score":0.005809903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04453933837607941,"score_gpt":0.2514723926271165,"score_spread":0.2069330542510371,"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."}}