{"id":"W2954067360","doi":"","title":"Creating Canadian English: The Professor, the Mountaineer, and a National Variety of English","year":2019,"lang":"en","type":"book","venue":"","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variety (cybernetics); Linguistics; Identity (music); History of English; English language; History; Sociology; Art; Computer science; Artificial intelligence; Aesthetics; Philosophy","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":[0.0009287497,0.0004205562,0.0002846246,0.001635298,0.0226748,0.009401538,0.00104951,0.001441876,0.008920599],"category_scores_gemma":[0.001565994,0.0001910697,0.0002737154,0.002592626,0.01103214,0.003130416,0.002221121,0.002718579,0.001207186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06238749,"about_ca_system_score_gemma":0.0784454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9609355,"about_ca_topic_score_gemma":0.9887652,"domain_scores_codex":[0.9984957,0.0002027369,0.00001595578,0.0001182035,0.0007258028,0.000441563],"domain_scores_gemma":[0.9993216,0.00008296739,0.00002043442,0.00002220061,0.000349373,0.0002033253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001969776,0.000008361518,0.0008518233,0.00009079289,0.000003403115,0.0002459691,0.04841695,0.00006587471,0.0002324218,0.6074969,0.3030935,0.03947433],"study_design_scores_gemma":[0.000001481911,0.000002899482,0.0009094669,0.0000696963,0.000003768656,0.0001041342,0.01815829,0.00003171622,0.00004637363,0.004867078,0.9757925,0.00001258085],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01282655,0.02354281,0.001118514,0.05594284,0.002158615,0.00002955297,0.0001978176,0.0001218684,0.9040614],"genre_scores_gemma":[0.2656305,0.02016293,0.002739037,0.008743421,0.0005006608,0.00003656051,0.000229544,0.0002004439,0.7017568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06238749,"threshold_uncertainty_score":0.452655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184201414399158,"score_gpt":0.2775513701751889,"score_spread":0.2591312287352732,"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."}}