{"id":"W3088881975","doi":"10.4992/pacjpa.83.0_2d-039","title":"Perceptual restoration of interrupted locally time-reversed speech: Effects of noise levels","year":2019,"lang":"en","type":"article","venue":"The Proceedings of the Annual Convention of the Japanese Psychological Association","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science","keywords":"Speech recognition; Perception; Noise (video); Audiology; Speech perception; Computer science; Psychology; Medicine; Artificial intelligence; Neuroscience","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":[0.0005494404,0.0006446437,0.0005749026,0.000423387,0.0004115059,0.0008645423,0.0005763513,0.000794129,0.005241176],"category_scores_gemma":[0.005717861,0.0003128272,0.0003836826,0.0003504214,0.0006018875,0.0008603766,0.0006116708,0.000773505,0.0009251182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514707,"about_ca_system_score_gemma":0.0003470521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291301,"about_ca_topic_score_gemma":0.001105721,"domain_scores_codex":[0.9996228,0.00009080296,0.00002977038,0.00006499806,0.000129852,0.00006163361],"domain_scores_gemma":[0.9973858,0.001448949,0.0001715243,0.0002611174,0.0005246796,0.0002078361],"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":[0.007559792,0.0002865441,0.0006867826,0.0003937311,0.00005139663,0.0005340501,0.0004660436,0.00240096,0.9469936,0.000519324,0.0003298982,0.03977783],"study_design_scores_gemma":[0.0004641482,0.003962393,0.04276155,0.0001801107,0.0007335985,0.003129893,0.001020316,0.06829578,0.8732732,0.001872872,0.004163015,0.0001430161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623076,0.0008692061,0.0311913,0.0001246604,0.0001920553,0.00008078957,0.0001569681,0.0006159205,0.004461556],"genre_scores_gemma":[0.9868881,0.0005387483,0.01027437,0.00006934796,0.00004576378,0.00002860139,0.0001797818,0.0002656642,0.001709622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005241176,"threshold_uncertainty_score":0.01753354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173252133275062,"score_gpt":0.2512584800930442,"score_spread":0.2395259587602936,"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."}}