{"id":"W3136501253","doi":"10.1017/s0954394520000174","title":"The social embedding of a syntactic alternation: Variable particle placement in Ontario English","year":2020,"lang":"en","type":"article","venue":"Language Variation and Change","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Linguistics; Grammaticalization; Word order; Vernacular; Variation (astronomy); Phrase; Verb phrase; Verb; Object (grammar); Psychology; Language change; History; Sociology; Noun phrase","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526557,0.00004275168,0.00007769904,0.00001638109,0.0002156409,0.00004374728,0.00006862102,0.00004396219,0.0004714744],"category_scores_gemma":[0.0005818153,0.00003730008,0.00001355609,0.0001356888,0.00002995181,0.00007822749,0.00002482192,0.00007315505,0.000003197902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007556227,"about_ca_system_score_gemma":0.00007715736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1067341,"about_ca_topic_score_gemma":0.1652395,"domain_scores_codex":[0.9993557,0.0001189214,0.0001465972,0.00009955792,0.0001492147,0.0001300636],"domain_scores_gemma":[0.9996449,0.0001176836,0.00009104767,0.00003987481,0.00006179784,0.00004468046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002096602,0.00001958426,0.002743943,0.000004333162,0.000008795296,0.000002221316,0.935477,0.000004836805,0.0001937864,0.06109815,0.00005715562,0.0003692633],"study_design_scores_gemma":[0.005082218,0.000243374,0.5899334,0.00005632488,0.0001267324,0.000001569352,0.2846919,0.01466913,0.0004213856,0.002171807,0.1020335,0.0005686205],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719205,0.0001812859,0.001978506,0.01105003,0.001089173,0.0006111843,0.00001065478,0.00008022488,0.01307843],"genre_scores_gemma":[0.9980875,0.00001579452,0.0001818862,0.000811031,0.0004994269,0.00002490729,0.000004509581,0.000003371452,0.0003715209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650785,"threshold_uncertainty_score":0.8992143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781546025029117,"score_gpt":0.3178969922595594,"score_spread":0.2700815320092682,"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."}}