{"id":"W2530705352","doi":"","title":"Antoine Gaborieau, Le Petit Gabi. Dictionnaire des anglicismes du Canada français, Saint-Boniface, Édition des Plaines, 2006, 226 pagesAntoine Gaborieau, Le Petit Gabi. Dictionnaire des anglicismes du Canada français, Saint-Boniface, Édition des Plaines, 2006, 226 pages","year":2008,"lang":"fr","type":"article","venue":"Liaison","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art; SAINT; Humanities; Art history","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0007712416,0.002024379,0.001822454,0.0006988354,0.01334424,0.001061564,0.001078388,0.0007396318,0.003140731],"category_scores_gemma":[0.003787827,0.002217087,0.0006287362,0.001009873,0.005414518,0.002538843,0.0003953464,0.001256771,0.0001176083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003708788,"about_ca_system_score_gemma":0.003561938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955822,"about_ca_topic_score_gemma":0.9978635,"domain_scores_codex":[0.9907818,0.0006502931,0.001979714,0.001905554,0.002003329,0.002679286],"domain_scores_gemma":[0.990961,0.0005360238,0.001005059,0.001202507,0.005137895,0.001157474],"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":[0.0005231987,0.001998952,0.3269626,0.003310859,0.0009291343,0.003752727,0.03790914,0.001211916,0.0001474468,0.01185028,0.6046835,0.006720284],"study_design_scores_gemma":[0.004932161,0.0009347117,0.2872795,0.002615498,0.001001073,0.000472757,0.03223969,0.0009788233,0.001677707,0.002340522,0.6618836,0.003644029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595995,0.1007317,0.001069304,0.002270418,0.01840081,0.00137703,0.01103698,0.000741045,0.004773231],"genre_scores_gemma":[0.9236411,0.03055095,0.0006133676,0.0006339974,0.01947251,0.0001256552,0.002954283,0.0003141391,0.02169394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07018078,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009697529068497244,"score_gpt":0.1827480088915428,"score_spread":0.1730504798230456,"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."}}