{"id":"W2760246646","doi":"10.5334/gjgl.310","title":"Spoken syntax in a comparative perspective: The dative and genitive alternation in varieties of English","year":2017,"lang":"en","type":"article","venue":"Glossa a journal of general linguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Illinois at Urbana-Champaign; Vlaamse regering; Universitetet i Oslo; KU Leuven; Fonds Wetenschappelijk Onderzoek; University of Cambridge; National Science Foundation","keywords":"Genitive case; Dative case; Linguistics; Varieties of English; Variation (astronomy); Syntax; British English; Computer science; Perspective (graphical); Natural language processing; Artificial intelligence; Noun","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":[0.002370267,0.000154594,0.0003188003,0.002488988,0.001130093,0.002434615,0.000490407,0.0003733553,0.002184688],"category_scores_gemma":[0.008538309,0.0002006388,0.0002684857,0.003021465,0.003557271,0.003838417,0.002360468,0.0006747427,0.0002210726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505028,"about_ca_system_score_gemma":0.0004851209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005221473,"about_ca_topic_score_gemma":0.009538951,"domain_scores_codex":[0.9982945,0.0008564779,0.0001147199,0.0003830813,0.0002920067,0.00005917908],"domain_scores_gemma":[0.9933281,0.004828582,0.0005512421,0.0007909632,0.0003728856,0.000128279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006549407,0.0001179967,0.1483231,0.0007952674,0.0002618098,0.001628066,0.2376348,0.003687136,0.05200509,0.389537,0.005009981,0.1603448],"study_design_scores_gemma":[0.00003629659,0.0002032437,0.66273,0.0003360045,0.0001779825,0.003510833,0.06955807,0.006103497,0.008025865,0.1770148,0.07210817,0.000195283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958173,0.001452033,0.01829951,0.001073708,0.00003544401,0.00001652247,0.001786613,0.00006357473,0.01909959],"genre_scores_gemma":[0.994705,0.0002911122,0.003650587,0.00007000397,0.00002337935,0.00002595895,0.0007297567,0.0000569251,0.0004473347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005221473,"threshold_uncertainty_score":0.01253533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04629494444331173,"score_gpt":0.3802781662875881,"score_spread":0.3339832218442764,"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."}}