{"id":"W2466611950","doi":"10.12697/sss.2009.37.3-4.08","title":"Animal vocalization and human polyglossia in Walter of Bibbesworth’s thirteenth-century domestic treatise in Anglo-Norman French and Middle English","year":2009,"lang":"en","type":"article","venue":"Sign Systems Studies","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; College of Pharmacy, University of Michigan; Dalhousie University; Trinity College, University of Cambridge; College of Veterinary Medicine, Cornell University; University of Michigan","keywords":"Vernacular; Middle English; Middle Ages; Vocabulary; History; Classics; Literature; Linguistics; Art; Philosophy; Ancient history","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010867,0.000146406,0.0003304633,0.0002315331,0.0001323759,0.0000658404,0.00004283824,0.0000431681,0.00001049957],"category_scores_gemma":[0.00009548412,0.0001192529,0.00001984576,0.000079772,0.0001550584,0.0001035633,0.00002836082,0.00007155111,5.689949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000429471,"about_ca_system_score_gemma":0.000009895203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121532,"about_ca_topic_score_gemma":0.00339912,"domain_scores_codex":[0.9990391,0.00007128565,0.0003879168,0.000194228,0.0001268085,0.0001806442],"domain_scores_gemma":[0.9995729,0.00004567981,0.0001193398,0.00009495189,0.0001364751,0.00003064557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005620829,0.0003599552,0.1973554,0.001047333,0.0001138202,0.00008646161,0.5047656,0.00003145809,0.0002171018,0.2938152,0.001142825,0.001008644],"study_design_scores_gemma":[0.006339559,0.002862972,0.7807475,0.005306567,0.0002855735,0.00002307065,0.1813053,0.002074741,0.00004792541,0.00384589,0.01567245,0.001488517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592356,0.03422164,0.000003455433,0.00001680763,0.000319955,0.0002921361,0.00002423809,0.00002580857,0.005860341],"genre_scores_gemma":[0.9989381,0.0003467869,0.000007506414,0.000015982,0.0004101084,0.00001274168,0.00001146736,0.000008056404,0.0002492255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.583392,"threshold_uncertainty_score":0.4862992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644484586975258,"score_gpt":0.2600904869252463,"score_spread":0.2336456410554938,"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."}}