{"id":"W2151982077","doi":"10.3917/rfdc.045.0031","title":"L'identification des langues dans les Constitutions africaines","year":2001,"lang":"fr","type":"article","venue":"Revue française de droit constitutionnel","topic":"Minority Rights and Languages","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Identification (biology); Philosophy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004150512,0.0003962071,0.0004649211,0.002600797,0.007310681,0.008549037,0.0004181732,0.00131217,0.004655147],"category_scores_gemma":[0.009070218,0.0002214721,0.0002631658,0.003575084,0.008266366,0.005462038,0.002640212,0.003590815,0.0002322511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006382436,"about_ca_system_score_gemma":0.00501398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09470102,"about_ca_topic_score_gemma":0.0763061,"domain_scores_codex":[0.9948426,0.003351983,0.0001442031,0.0003010189,0.0005802735,0.0007799204],"domain_scores_gemma":[0.9944255,0.00384268,0.0007319162,0.0002736761,0.0004505648,0.0002756511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007840251,0.00002497354,0.005292763,0.00009788974,0.00001715966,0.0003844995,0.06974994,0.0001643123,0.001324858,0.8850328,0.001325146,0.03650726],"study_design_scores_gemma":[0.00008010346,0.0001484838,0.08856047,0.001146076,0.00006403805,0.00159021,0.1177374,0.001105682,0.00236642,0.09099732,0.6960931,0.0001106072],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6853009,0.02554152,0.008116818,0.0257036,0.0005637859,0.00004989941,0.0002526254,0.00003732634,0.2544336],"genre_scores_gemma":[0.9794653,0.003730304,0.001469957,0.0003983552,0.0001449476,0.00002993277,0.00003597245,0.00001801044,0.01470737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09470102,"threshold_uncertainty_score":0.1882996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276054819516251,"score_gpt":0.2682926016739937,"score_spread":0.2406871197223686,"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."}}