{"id":"W2363073126","doi":"","title":"Canadian English:A Historical and Immigrant Sourcing Research","year":2009,"lang":"en","type":"article","venue":"Journal of Hunan University of Science and Engineering","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Variety (cybernetics); English language; Product (mathematics); History; American English; Sociology; Linguistics; Political science; 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":[0.003594581,0.0004097592,0.0004784895,0.009790008,0.0187967,0.005781532,0.001460414,0.000715348,0.006193803],"category_scores_gemma":[0.009020868,0.0002775945,0.0002338213,0.02207407,0.005409321,0.002553887,0.002505885,0.001127625,0.0002812983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06581016,"about_ca_system_score_gemma":0.06001608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860351,"about_ca_topic_score_gemma":0.9948292,"domain_scores_codex":[0.9976265,0.000307088,0.00007819474,0.0002967684,0.001126741,0.000564656],"domain_scores_gemma":[0.991986,0.001912435,0.0005549636,0.0002717521,0.004404019,0.0008707815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001395651,0.00007300931,0.1457896,0.0005192199,0.00004637528,0.001471088,0.6650143,0.0001985208,0.001154879,0.06128747,0.01166984,0.1126362],"study_design_scores_gemma":[0.000005094833,0.00005397048,0.3032361,0.0006817533,0.00006011553,0.0005902274,0.5505649,0.0003076479,0.0005111553,0.00181858,0.1420769,0.00009359217],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813825,0.01091436,0.0005500325,0.005125091,0.0001722396,0.00004661545,0.001141237,0.00002524155,0.1006428],"genre_scores_gemma":[0.9837607,0.006629036,0.0004385513,0.000371213,0.00002957539,0.00001572224,0.000304973,0.00002929663,0.008420891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06581016,"threshold_uncertainty_score":0.4774883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019211784114027,"score_gpt":0.2484800386853809,"score_spread":0.2292682545713539,"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."}}