{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074075,0.00008822044,0.0002025967,0.00002191536,0.00003612845,0.000004103775,0.00009674251,0.00005234555,0.000303713],"category_scores_gemma":[0.0005096379,0.00008101821,0.0000382029,0.0001719968,0.000285521,0.0001036706,0.0001324114,0.0001370911,0.000009368504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434111,"about_ca_system_score_gemma":0.000009367388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572726,"about_ca_topic_score_gemma":0.0001234197,"domain_scores_codex":[0.9990264,0.00002476915,0.0002935537,0.0002317363,0.0002060656,0.0002175365],"domain_scores_gemma":[0.9992991,0.0003133197,0.000151024,0.0001617996,0.00002405682,0.00005071404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001243235,0.0001287849,0.1278064,0.00007379898,0.00002449776,0.000001859245,0.005480522,0.0000928955,0.8029594,0.003740146,0.00003187483,0.0595355],"study_design_scores_gemma":[0.0002094736,0.0002385905,0.02896297,0.00004939388,0.00001660617,0.000007428157,0.00138371,0.006215819,0.7730247,0.1897227,0.00001187327,0.0001568317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235625,0.00001132459,0.03266556,0.00003148395,0.00001623305,0.0001638678,9.197924e-7,0.00001237582,0.04353577],"genre_scores_gemma":[0.9657648,0.000005060787,0.03414321,0.0000132578,0.00001018918,0.000001489401,2.090409e-7,0.000008137678,0.00005363409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1859825,"threshold_uncertainty_score":0.3325444,"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."}}