{"id":"W4386485153","doi":"10.3758/s13428-023-02222-1","title":"Validation of scrambling methods for vocal affect bursts","year":2023,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Georg-August-Universität Göttingen","keywords":"Scrambling; Affect (linguistics); Computer science; Speech recognition; Psychology; Audiology; Communication; Medicine; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004089821,0.0009808429,0.0004740703,0.001049706,0.0004048115,0.0005734584,0.000806328,0.0006636891,0.002061251],"category_scores_gemma":[0.01577194,0.0003169508,0.0005687361,0.0002959879,0.000697119,0.0004456286,0.0006314724,0.00085319,0.0009027502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287901,"about_ca_system_score_gemma":0.000243078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005173124,"about_ca_topic_score_gemma":0.0004795723,"domain_scores_codex":[0.9970656,0.0009465298,0.0003062018,0.000700836,0.0008270454,0.000153825],"domain_scores_gemma":[0.9917846,0.004059643,0.000770813,0.001360001,0.001808724,0.0002162689],"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":[0.001675432,0.0004806636,0.001996452,0.0004982496,0.00006963289,0.0001014101,0.0005086754,0.001552197,0.923931,0.0004822362,0.0002632709,0.06844077],"study_design_scores_gemma":[0.0001933221,0.01091911,0.02605749,0.00007903972,0.0002317789,0.00079146,0.0002311081,0.01520673,0.9401619,0.0004490499,0.005563028,0.0001158556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6658522,0.00288524,0.3238552,0.0001255196,0.0004806972,0.002383322,0.00063729,0.001017772,0.002762784],"genre_scores_gemma":[0.7478322,0.001857208,0.2418863,0.000151171,0.0001274998,0.003866222,0.001099693,0.0005931501,0.002586533],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004089821,"threshold_uncertainty_score":0.02162927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4873390771829146,"score_gpt":0.6633259502545373,"score_spread":0.1759868730716228,"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."}}