{"id":"W4393812211","doi":"10.5281/zenodo.7356908","title":"LJ Speech - Aligned IPA transcriptions","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009285961,0.0002907309,0.0002923672,0.0006697934,0.003491258,0.001893495,0.004669199,0.0001530378,0.380499],"category_scores_gemma":[0.0004812785,0.0003293308,0.0001752754,0.001145327,0.0001240713,0.0004257024,0.002204168,0.0005134587,0.01832971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466582,"about_ca_system_score_gemma":0.00001413028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005463296,"about_ca_topic_score_gemma":0.000001564396,"domain_scores_codex":[0.9965366,0.0007815875,0.0004093912,0.0008561703,0.0008954513,0.000520761],"domain_scores_gemma":[0.9976666,0.00005437564,0.0001861592,0.001411188,0.0004010668,0.0002806193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001017737,0.0001717506,1.250461e-8,0.00004418987,0.00004737946,0.00007869761,0.0001250449,0.000001593719,0.0001390725,0.0006833808,0.9117582,0.08694046],"study_design_scores_gemma":[0.0002976163,0.0001656238,0.000007237526,0.00002138838,0.00003145841,0.0003857446,0.00007719854,0.0001071036,0.0001313843,0.0002070852,0.998207,0.0003611118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001313083,0.00008051193,0.008398917,0.001323559,0.0005662311,0.0005514206,0.9602217,0.001329804,0.02751471],"genre_scores_gemma":[0.00005124447,0.0003401599,0.0016352,0.0006307131,0.0001661492,2.405108e-7,0.9951195,0.0008173586,0.001239468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3621693,"threshold_uncertainty_score":0.9999159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805114250293462,"score_gpt":0.2514240244594909,"score_spread":0.2033728819565563,"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."}}