{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001966637,0.00002304196,0.00007292666,0.0003950039,0.0004261257,0.00002021534,0.0001460385,0.00002781305,0.00000722511],"category_scores_gemma":[0.0009507586,0.00002423177,0.00001207502,0.000315269,0.0002458883,0.0001643484,0.00001315967,0.0001167173,1.5832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990393,"about_ca_system_score_gemma":0.0005105242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02960266,"about_ca_topic_score_gemma":0.006805398,"domain_scores_codex":[0.9994068,0.00001661949,0.00006452647,0.00005543041,0.0002874668,0.0001691507],"domain_scores_gemma":[0.9991618,0.00004534897,0.00003607079,0.00002719657,0.0004847444,0.0002448527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000083857,0.0001000952,0.01407909,0.00004109014,0.00003229602,0.0005445818,0.7053307,0.0008590629,0.02886301,0.21412,0.004213612,0.03173259],"study_design_scores_gemma":[0.001246373,0.0008129657,0.1352175,0.0001923099,0.00004406224,0.00007626347,0.1697675,0.002327978,0.0002649632,0.001413688,0.6882766,0.0003598448],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926248,0.0001339561,0.0002918671,0.002384856,0.0002970482,0.00002508413,3.973962e-7,0.000004465112,0.004237484],"genre_scores_gemma":[0.9987793,0.0001040351,0.0008952332,0.00001695453,0.00008126732,2.399073e-9,1.478149e-8,6.326907e-7,0.0001225645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684063,"threshold_uncertainty_score":0.9768593,"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."}}