{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007763441,0.00003403512,0.00007813572,0.0000381941,0.000009096803,0.000004692335,0.00008794996,0.00008678428,0.02374117],"category_scores_gemma":[0.0003384883,0.0000325419,0.000006852868,0.00004579124,0.00001187824,0.000002565159,0.000008082562,0.0000502558,0.0001360255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091769,"about_ca_system_score_gemma":0.003088616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999742,"about_ca_topic_score_gemma":0.9999714,"domain_scores_codex":[0.9996317,0.00003843824,0.00004854459,0.0000777676,0.00009979496,0.0001037439],"domain_scores_gemma":[0.9998336,0.00003049599,0.00002908483,0.00006400984,0.00001578623,0.00002703571],"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":[1.05888e-7,0.00000126401,0.000934494,0.000001375442,0.000001563337,0.000003283184,0.0005859278,8.944775e-8,9.556388e-9,0.09690428,0.9014443,0.0001233171],"study_design_scores_gemma":[0.00005701453,5.614403e-7,0.00008346712,0.000004726418,8.811483e-7,1.215572e-8,0.001000427,5.575158e-7,4.896352e-8,0.00003786746,0.9987701,0.00004430025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002217419,0.00002158858,0.000005676207,0.000219762,0.003530683,0.00008554169,0.000004928478,0.00002861569,0.996101],"genre_scores_gemma":[0.003748488,0.000022689,0.00006628999,0.0006646174,0.000653428,0.000001711828,0.000003517697,0.00002770625,0.9948115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09732585,"threshold_uncertainty_score":0.9771513,"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."}}