{"id":"W2053848155","doi":"10.1017/s0954394512000166","title":"The diachrony of quotation: Evidence from New Zealand English","year":2012,"lang":"en","type":"article","venue":"Language Variation and Change","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Linguistics; History; Grammar; Language change; Old English; Scale (ratio); Geography; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009086935,0.0003359978,0.0006544873,0.003217651,0.002694348,0.00277805,0.001280963,0.0008714441,0.005998834],"category_scores_gemma":[0.05409711,0.0005162292,0.0002127477,0.005968666,0.009525517,0.003669712,0.005071414,0.001184614,0.0005269043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003962488,"about_ca_system_score_gemma":0.001947919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1106929,"about_ca_topic_score_gemma":0.194765,"domain_scores_codex":[0.9906524,0.003593665,0.001135399,0.001167108,0.002929986,0.0005215118],"domain_scores_gemma":[0.9469526,0.03022743,0.007622852,0.004758947,0.009883448,0.0005547425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004201583,0.00008201065,0.09360895,0.001283619,0.00007854393,0.002467535,0.8129822,0.0001405448,0.008417964,0.01209343,0.0009417954,0.06748334],"study_design_scores_gemma":[0.00004591091,0.0001990416,0.5717102,0.0009070059,0.00009932744,0.002805199,0.3628284,0.0006478605,0.002889651,0.005619021,0.05209289,0.0001555319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778218,0.001049556,0.0008916656,0.0008659579,0.00002703648,0.00004890588,0.0002262412,0.000004681107,0.01906415],"genre_scores_gemma":[0.9982016,0.0003918551,0.0003438933,0.00004316048,0.00001219557,0.00001911521,0.00005881127,0.00001419504,0.000915176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1106929,"threshold_uncertainty_score":0.2200972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489157469935378,"score_gpt":0.3229012817066756,"score_spread":0.2739855347131379,"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."}}