{"id":"W2612858207","doi":"","title":"Anglicisms in Political Discourse in Quebec and Canada","year":2016,"lang":"en","type":"article","venue":"Mots","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Civil servants; Politics; Political science; Media studies; Public administration; Linguistics; Sociology; Law; Philosophy","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":[0.00003879459,0.00004638597,0.0000726142,0.00004169677,0.00003381893,0.0000363714,0.00004897002,0.00001389949,0.0002617958],"category_scores_gemma":[0.0004857851,0.00003286501,0.000008493245,0.000007011392,0.0001010395,0.00006908883,0.00003539763,0.0000322959,0.000008182032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052086,"about_ca_system_score_gemma":0.00006380447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942515,"about_ca_topic_score_gemma":0.9997951,"domain_scores_codex":[0.9995857,0.0000133632,0.00007102098,0.00008685639,0.00007185574,0.0001712316],"domain_scores_gemma":[0.9997924,0.00002967785,0.00001011517,0.00006052043,0.00005810744,0.00004916975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001395225,0.00008470592,0.5358967,0.00003004844,0.000008386151,0.0002978003,0.02762571,1.541848e-7,0.000005058365,0.4091286,0.02523251,0.001676351],"study_design_scores_gemma":[0.003256892,0.00006715238,0.7616573,0.000295296,0.00003444704,9.218296e-7,0.1227992,0.00003499019,0.0001857676,0.02328239,0.08756796,0.0008177091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905425,0.00003342602,0.000001096797,0.0003171591,0.001273321,0.00003305348,0.00004509661,0.000005921824,0.007748399],"genre_scores_gemma":[0.9910116,0.000002065806,0.000002109751,0.0002397136,0.001113438,6.775706e-7,0.000001683955,0.000003079043,0.0076257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3858462,"threshold_uncertainty_score":0.2866481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154565377006643,"score_gpt":0.210519892973025,"score_spread":0.1989742392029586,"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."}}