{"id":"W2002247540","doi":"10.4000/contextes.4463","title":"« Le commando Pernod ». De l’appellation incontrôlée à la sémiologie éthylo-politique","year":2009,"lang":"fr","type":"article","venue":"Contextes","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Art","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":[0.001287293,0.0004777158,0.0002423197,0.000802212,0.003969413,0.004696357,0.000579769,0.001512766,0.01068362],"category_scores_gemma":[0.002031445,0.0001997063,0.0002798009,0.0008002312,0.01153552,0.003398122,0.001961115,0.00247198,0.001932795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00528698,"about_ca_system_score_gemma":0.002653487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02765075,"about_ca_topic_score_gemma":0.03986275,"domain_scores_codex":[0.9984029,0.0008157282,0.00005719653,0.0002561523,0.0003096459,0.000158282],"domain_scores_gemma":[0.9990684,0.0004320052,0.0001006465,0.0001274782,0.0002103553,0.00006107893],"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":[0.00003472594,0.0000072918,0.0007888486,0.00008712841,0.000005133901,0.0001386905,0.0226667,0.00006899409,0.0005609619,0.9539328,0.009078189,0.01263057],"study_design_scores_gemma":[0.000006920404,0.00002314145,0.001775139,0.0001374492,0.000007364315,0.0002956955,0.0107031,0.0002724662,0.0008918159,0.05401659,0.9318504,0.00001987288],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03317201,0.007455157,0.0198559,0.02258667,0.001308992,0.00006471114,0.0004006445,0.0002130264,0.914943],"genre_scores_gemma":[0.7863488,0.00211589,0.00338108,0.0025616,0.000316697,0.0000717236,0.0001839675,0.000173455,0.2048469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02765075,"threshold_uncertainty_score":0.05497962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627327119008048,"score_gpt":0.2848438905474603,"score_spread":0.2585706193573798,"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."}}