{"id":"W2253287919","doi":"","title":"Subjective and Objective Rating of Intelligibility of Speech Recordings","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Aerospace, Electronics, Mathematical Modeling","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intelligibility (philosophy); Audiology; Speech recognition; Computer science; Psychology; Medicine","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":[0.002540622,0.0005438254,0.0005344605,0.001064498,0.0001526265,0.0005748231,0.0002786161,0.0005387227,0.003426934],"category_scores_gemma":[0.01223432,0.0001417203,0.0004595976,0.0002493148,0.0004202378,0.0006551479,0.0006615253,0.0004491521,0.001020768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008634652,"about_ca_system_score_gemma":0.0001319782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003302532,"about_ca_topic_score_gemma":0.0004727312,"domain_scores_codex":[0.996729,0.000834816,0.0004691587,0.0003619149,0.001503665,0.0001014201],"domain_scores_gemma":[0.9900557,0.004385304,0.001207681,0.0007322817,0.002973933,0.0006449923],"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":[0.006161443,0.001220295,0.2073376,0.001394511,0.0008346001,0.00142501,0.004672336,0.00207718,0.6294882,0.000255845,0.0008314375,0.1443016],"study_design_scores_gemma":[0.0001195841,0.01148841,0.8730654,0.00008347038,0.0003291952,0.003992598,0.002295916,0.003420269,0.1020114,0.0002521424,0.002728594,0.0002130251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787811,0.0005435305,0.01417034,0.00002700773,0.00004731811,0.0001901726,0.0006662575,0.0001384604,0.005435904],"genre_scores_gemma":[0.9884024,0.0003058258,0.006689395,0.00005334405,0.00005670252,0.0001047098,0.0008153261,0.00005279004,0.003519539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003426934,"threshold_uncertainty_score":0.01343626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002497390218652,"score_gpt":0.2506319801886938,"score_spread":0.2406070062865072,"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."}}