{"id":"W2972599480","doi":"10.1017/9781316827437.023","title":"The Germanic Languages Other than English from c. 1700","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linguistics; Variety (cybernetics); Computer science; Language contact; Standard language; Standardization; Comprehension; Lexicography; Artificial intelligence; Natural language processing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006807563,0.0003695984,0.0003264807,0.00008607165,0.0007186799,0.0002145239,0.0005752087,0.0001710086,0.000148476],"category_scores_gemma":[0.000007130483,0.0002880213,0.0003596883,0.000002524087,0.0006618716,0.00009374444,0.000288848,0.000437936,0.00007817341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891558,"about_ca_system_score_gemma":0.00004198935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014438,"about_ca_topic_score_gemma":0.0008372228,"domain_scores_codex":[0.9989045,0.00004131273,0.0001508221,0.0003821819,0.0002328049,0.00028835],"domain_scores_gemma":[0.9987603,0.0002078435,0.0001964028,0.0006046825,0.0001672244,0.00006351784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004789651,0.000005320202,0.000003025875,0.00002490347,0.0005232966,0.0000630254,0.01009929,6.059015e-8,0.000001607218,0.8938215,0.09481882,0.0005912388],"study_design_scores_gemma":[0.000323336,0.00003090248,0.00001360418,0.0001234906,0.0002449041,5.164219e-7,0.005214002,0.000001026844,0.00002184873,0.00002498104,0.9936166,0.000384806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004638105,0.002826131,0.000002568329,0.00001857057,0.0009490227,0.000319852,0.001440969,0.0001992419,0.9937798],"genre_scores_gemma":[0.004897491,0.0002279313,0.000002907127,0.0001668003,0.001610444,9.270674e-7,0.00006149783,0.00005702877,0.992975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8987978,"threshold_uncertainty_score":0.9999572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757932638128175,"score_gpt":0.1828148124394209,"score_spread":0.1652354860581392,"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."}}