{"id":"W2245375531","doi":"","title":"English and French Canadians, Flemish and Francophone Belgians. The Linguistic Composition of the Canadian and Belgian Federal Cabinet","year":2007,"lang":"en","type":"article","venue":"ORBi (University of Liège)","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flemish; French; Cabinet (room); Linguistics; Composition (language); History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052071,0.0004904367,0.0003099352,0.003434392,0.009382949,0.003668568,0.0006519284,0.0008941372,0.01254606],"category_scores_gemma":[0.002147597,0.0001740473,0.0002909087,0.006565027,0.002785147,0.001003996,0.001146128,0.00082509,0.001085527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02886478,"about_ca_system_score_gemma":0.02397638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9811993,"about_ca_topic_score_gemma":0.9924091,"domain_scores_codex":[0.997691,0.0003124605,0.00004677327,0.0003035796,0.0006052715,0.001040979],"domain_scores_gemma":[0.9990287,0.0001323513,0.0001531012,0.00004068556,0.0004422257,0.0002029399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006377007,0.0001777206,0.06999765,0.000597947,0.0001453379,0.001856936,0.1021515,0.0008970074,0.00119847,0.469335,0.1662015,0.1868033],"study_design_scores_gemma":[0.00003802781,0.00003809817,0.1337141,0.000263158,0.00004692272,0.0005078152,0.05562568,0.0002485535,0.0003399103,0.003549816,0.8055176,0.0001105045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3398619,0.02145904,0.0013311,0.01058485,0.0005684695,0.000173827,0.008031854,0.00008921706,0.6178997],"genre_scores_gemma":[0.8734629,0.005214359,0.001568535,0.001833122,0.00006529448,0.00006758485,0.002639033,0.00003298751,0.1151162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02886478,"threshold_uncertainty_score":0.2094297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00722253981389784,"score_gpt":0.168879721947595,"score_spread":0.1616571821336971,"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."}}