{"id":"W6998896654","doi":"","title":"Autosegmental Accent","year":2020,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Genetic and rare skin diseases.","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"University of Massachusetts Amherst","keywords":"Nasalization; Stress (linguistics); Noise (video); Feature (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00007802161,0.0001362762,0.0001463624,0.00003001596,0.0001322334,0.00001751437,0.0004108577,0.0001575481,0.0004632905],"category_scores_gemma":[0.00003109833,0.0001632577,0.0001616943,0.0001358752,0.0001332534,0.00001232131,0.0002612678,0.0001515096,0.00005669699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590867,"about_ca_system_score_gemma":0.00007834163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001737094,"about_ca_topic_score_gemma":0.0000111682,"domain_scores_codex":[0.9990888,0.00006127808,0.00009572391,0.0003507378,0.0001911192,0.0002123124],"domain_scores_gemma":[0.9993376,0.00000498361,0.00008571264,0.0002567275,0.00005814667,0.0002568087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001884373,0.0007435184,0.121568,0.0002245641,0.001017834,0.0002139105,0.001935018,0.001330424,0.5780405,0.0003681084,0.2453933,0.04728038],"study_design_scores_gemma":[0.007136983,0.001333383,0.1823296,0.00009029188,0.0003741978,0.00002246343,0.009844566,0.0007559434,0.0377082,0.0001051521,0.7588785,0.001420799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818733,0.001728009,0.00613395,0.003011722,0.0001368751,0.0002486699,0.00008008847,0.0000457948,0.006741631],"genre_scores_gemma":[0.9966547,0.0001905834,0.001825553,0.0004868807,0.00009981688,2.347015e-7,0.00008313954,0.00001570786,0.0006433064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5403324,"threshold_uncertainty_score":0.6657457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158669158509873,"score_gpt":0.1959922401031941,"score_spread":0.1844055485180953,"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."}}