{"id":"W1554148108","doi":"10.1075/impact.26","title":"Sociolinguistic Variation in Contemporary French","year":2009,"lang":"en","type":"book","venue":"Impact","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Linguistics; Section (typography); Theme (computing); Sound change; Style (visual arts); History; Geography; Computer science; 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":[0.0004118422,0.0003123358,0.0001761865,0.002496854,0.001916482,0.002729727,0.0002798172,0.0005348672,0.003056124],"category_scores_gemma":[0.0004916291,0.00009339799,0.0001917109,0.003151304,0.002733516,0.0008442436,0.0005329699,0.0004420219,0.0002713235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005959159,"about_ca_system_score_gemma":0.00109753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05263672,"about_ca_topic_score_gemma":0.09438182,"domain_scores_codex":[0.9996566,0.0001224434,0.0000131145,0.00006581064,0.00009219768,0.00004982032],"domain_scores_gemma":[0.9997206,0.0001579666,0.00002906474,0.000019719,0.00005566761,0.00001687825],"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":[0.00004745649,0.00002820905,0.008633111,0.0003494381,0.00003762676,0.001736438,0.1046809,0.001216315,0.00277603,0.563848,0.01689439,0.299752],"study_design_scores_gemma":[0.000003085198,0.00004473669,0.03897954,0.0001336643,0.00001194143,0.001201057,0.008210172,0.0002666467,0.0002355962,0.01867458,0.9322152,0.0000238522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3292093,0.1688359,0.003789105,0.008025307,0.0005492184,0.00003362539,0.0004849818,0.0002708585,0.4888017],"genre_scores_gemma":[0.9128513,0.03573293,0.001616092,0.000386026,0.0004514745,0.00002971433,0.0003013907,0.00006999206,0.04856094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05263672,"threshold_uncertainty_score":0.1046607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934094061405051,"score_gpt":0.3767448827828181,"score_spread":0.3174039421687676,"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."}}