{"id":"W6888789972","doi":"10.23641/asha.14167058","title":"Forced alignment of child speech (Mahr et al., 2021)","year":2021,"lang":"en","type":"article","venue":"figshare ASHA Publications","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Two-alternative forced choice; Segmentation; Sample (material); Speech processing; Phonetics; Speech segmentation; Interval (graph theory); Electroglottograph; Process (computing)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001509641,0.0001175699,0.000155378,0.000155847,0.0001208442,0.0002308467,0.0007081808,0.00005334939,0.04274682],"category_scores_gemma":[0.0009223018,0.0001223352,0.0001319894,0.0009575599,0.00001095943,0.0005449094,0.0002977252,0.00011377,0.001109998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488894,"about_ca_system_score_gemma":0.0002132812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007230806,"about_ca_topic_score_gemma":0.00002469563,"domain_scores_codex":[0.9986442,0.0000840112,0.00029751,0.0004045542,0.0003572682,0.00021249],"domain_scores_gemma":[0.99804,0.0001961631,0.0001457711,0.0009459765,0.0005409462,0.0001311069],"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":[4.388564e-7,0.000165789,0.00002632769,0.000009506708,0.00003284538,0.000004224372,0.00007188629,0.000001919183,0.0004254559,0.02314647,0.9153996,0.06071558],"study_design_scores_gemma":[0.0001782944,0.0000145313,0.002596275,0.0001141783,0.000005447953,0.00005154494,0.0000348686,0.001515027,0.03651131,0.0008954501,0.9579127,0.0001703179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0002217125,0.0003946889,0.03159434,0.3589656,0.0004063124,0.0006568198,0.01592062,0.0005221243,0.5913178],"genre_scores_gemma":[0.2086291,0.0005207016,0.4781656,0.1721631,0.0004587783,0.002758093,0.08373205,0.0001790056,0.05339363],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5379241,"threshold_uncertainty_score":0.9996678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140962456034709,"score_gpt":0.2830461045837347,"score_spread":0.2416364800233876,"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."}}