{"id":"W2914916145","doi":"10.1075/eww.00022.dis","title":"Going global and sounding local","year":2019,"lang":"en","type":"article","venue":"English World-Wide A Journal of Varieties of English","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Grammaticalization; Linguistics; Vernacular; Irish; History; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936941,0.0002345241,0.0002884626,0.001268419,0.004965629,0.004531102,0.0005521352,0.0004039372,0.01246206],"category_scores_gemma":[0.002970438,0.0001433286,0.0001603532,0.001350883,0.009142269,0.003846152,0.004001852,0.001155452,0.001033455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004035252,"about_ca_system_score_gemma":0.002737425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04698481,"about_ca_topic_score_gemma":0.1453462,"domain_scores_codex":[0.998632,0.000421295,0.00004002331,0.0002491389,0.0002451786,0.0004123143],"domain_scores_gemma":[0.9985592,0.0002116475,0.0001068114,0.0003637325,0.0004489928,0.0003097162],"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":[0.0001514694,0.00004837302,0.0292519,0.0002383023,0.00001932224,0.0006792914,0.2582224,0.0005316881,0.007689937,0.5902685,0.00905452,0.1038443],"study_design_scores_gemma":[0.00001436999,0.0001957883,0.07447683,0.0002862724,0.000027527,0.0005228056,0.359111,0.0006695557,0.002718035,0.04947191,0.5124085,0.00009742385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4379066,0.0003123577,0.006740981,0.001592109,0.00009093562,0.00005485671,0.0002086176,0.0001096344,0.5529841],"genre_scores_gemma":[0.9847113,0.00009161,0.001168956,0.0001169564,0.000004913428,0.000009454925,0.00005986284,0.0000803287,0.01375655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04698481,"threshold_uncertainty_score":0.09342265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008978158459623187,"score_gpt":0.2656608587662305,"score_spread":0.2566827003066073,"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."}}