{"id":"W2370325677","doi":"","title":"Talks about Characteristics of Canadian English","year":2007,"lang":"en","type":"article","venue":"Journal of Chuxiong Normal University","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"British English; American English; Variety (cybernetics); English language; History; Linguistics; Modern English; English-based creole languages; Old English; Computer science; Language assessment; Modern language; Artificial intelligence; Classics; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.001097311,0.00003852717,0.0001243347,0.0004508965,0.0001911466,0.000008409687,0.000189817,0.00009034503,0.0003281464],"category_scores_gemma":[0.000742425,0.0000420058,0.00006483847,0.0003039228,0.0001160343,0.0001375902,0.00001363445,0.0001456705,0.000002608938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886294,"about_ca_system_score_gemma":0.0006520755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04357725,"about_ca_topic_score_gemma":0.07441957,"domain_scores_codex":[0.9993389,0.00005955586,0.0001929395,0.00004023248,0.0001917135,0.000176668],"domain_scores_gemma":[0.9984853,0.00008592231,0.000311899,0.00004693698,0.0008009901,0.0002689627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004231843,0.0002383484,0.4549116,0.00002989733,0.0001954507,0.00193525,0.1129632,0.00001744933,0.0003792958,0.4101191,0.007837498,0.01094971],"study_design_scores_gemma":[0.0003744061,0.00004944117,0.371632,0.00001384852,0.00003183186,0.000006322176,0.006990113,0.000001532722,0.0000713628,0.0000518075,0.6207152,0.00006218727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174103,0.000008476362,0.000569305,0.0003330804,0.001569885,0.00003346252,0.0000139806,0.000005997626,0.1800555],"genre_scores_gemma":[0.9979612,0.00005673302,0.0003536876,0.00008331985,0.0004860448,3.102712e-9,0.00000141986,0.000001977316,0.001055676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6128777,"threshold_uncertainty_score":0.9627916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196051412609525,"score_gpt":0.23277366031467,"score_spread":0.2208131461885747,"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."}}