{"id":"W2999103048","doi":"10.1002/9781119147282.ch4","title":"English in Canada","year":2019,"lang":"en","type":"other","venue":"","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Immigration; Homogeneous; Geography; Dialectology; English language; History; Economic geography; Sociology; Linguistics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003639138,0.0003634359,0.000344901,0.00280764,0.006867254,0.002561298,0.0007371591,0.0004462941,0.05889839],"category_scores_gemma":[0.00128429,0.0001786341,0.0002060498,0.007945978,0.0009510615,0.0007427704,0.001227106,0.0008516929,0.004809408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03074517,"about_ca_system_score_gemma":0.05982481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941382,"about_ca_topic_score_gemma":0.9973512,"domain_scores_codex":[0.9991923,0.00004806005,0.00003169536,0.0001230193,0.00020344,0.0004015546],"domain_scores_gemma":[0.9989114,0.00007588742,0.00005698892,0.00002744777,0.0006850749,0.0002431312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002896092,0.00008893197,0.08085608,0.0008270846,0.00004665987,0.002327082,0.03723711,0.0003740043,0.001538891,0.1005257,0.5205951,0.2552938],"study_design_scores_gemma":[0.00001384549,0.00001605217,0.2346286,0.0003917891,0.00002468871,0.0004302246,0.02608257,0.0001628334,0.0003326595,0.001640259,0.7362344,0.00004207404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2131861,0.01019986,0.0003368278,0.008649811,0.0006086886,0.0001194586,0.04745805,0.0001836755,0.7192576],"genre_scores_gemma":[0.5809224,0.006151869,0.0006994205,0.001512654,0.00009330462,0.0000707369,0.009590398,0.0001733624,0.4007858],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05889839,"threshold_uncertainty_score":0.2230728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186730835882924,"score_gpt":0.2616105710736837,"score_spread":0.2497432627148545,"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."}}