{"id":"W3165143153","doi":"10.31234/osf.io/bm2uq","title":"How do voices become familiar? Speech intelligibility and voice recognition are differentially sensitive to voice training","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Intelligibility (philosophy); Psychology; Speech recognition; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007124733,0.000725729,0.001004939,0.0003917208,0.0002083624,0.002212793,0.00108073,0.000480332,0.00005124586],"category_scores_gemma":[0.001204804,0.0006949684,0.000309763,0.000481411,0.0001126304,0.0005701766,0.002261666,0.0009974686,0.0003679468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399782,"about_ca_system_score_gemma":0.0001517765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002081946,"about_ca_topic_score_gemma":0.0009138663,"domain_scores_codex":[0.995282,0.0004706492,0.0006247365,0.002327313,0.0007194483,0.0005758391],"domain_scores_gemma":[0.996482,0.0008814508,0.0004348008,0.0009547173,0.0006238782,0.0006232067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005410905,0.0001153007,0.0002177856,0.0003113208,0.0001913248,0.0001388068,0.004799812,0.000002554252,0.001267802,0.0001701046,0.0006424168,0.9920887],"study_design_scores_gemma":[0.004610261,0.001827356,0.1501308,0.008570133,0.001518508,0.001060347,0.05916295,0.1586325,0.3504325,0.2242169,0.02179999,0.01803761],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3102967,0.00005486008,0.6571661,0.0209317,0.001612356,0.001473481,0.0003158165,0.001069198,0.007079775],"genre_scores_gemma":[0.7959566,0.0001722743,0.1994174,0.003250211,0.0004688592,0.0000901404,0.00008446447,0.00005352268,0.0005065403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9740511,"threshold_uncertainty_score":0.9995502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09017087775657101,"score_gpt":0.2842359541356418,"score_spread":0.1940650763790708,"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."}}