{"id":"W2873498845","doi":"10.1051/shsconf/20184602002","title":"Le retour d’un « être » cher ? Étude sociolinguistique de l’alternance des auxiliaires dans le français de Montréal (1971-2016)","year":2018,"lang":"fr","type":"article","venue":"SHS Web of Conferences","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":[0.001317359,0.0003722824,0.00026601,0.002481816,0.004625622,0.003285747,0.0009634629,0.0004000657,0.004860887],"category_scores_gemma":[0.002883515,0.0003829887,0.0003072813,0.0061467,0.002340562,0.001329639,0.001595148,0.0006974563,0.0004174676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02242567,"about_ca_system_score_gemma":0.01559855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9668548,"about_ca_topic_score_gemma":0.9862195,"domain_scores_codex":[0.9988431,0.0001909388,0.00004841396,0.0002695271,0.0003264608,0.0003215121],"domain_scores_gemma":[0.9975453,0.0004442991,0.0006718314,0.0001244037,0.0009359405,0.0002781008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001679048,0.0000400456,0.6338726,0.0002224216,0.0001269304,0.001197613,0.2914418,0.000339342,0.004596551,0.008056038,0.003923746,0.05601502],"study_design_scores_gemma":[0.000003226401,0.00002077539,0.9121789,0.00005745467,0.00003295498,0.0001767526,0.05499278,0.0001499605,0.0005072098,0.0001256676,0.03171428,0.00004003344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870262,0.001354135,0.0003380936,0.0006862239,0.00001942306,0.0000247568,0.001281722,0.00001251905,0.009256825],"genre_scores_gemma":[0.9905972,0.0006130579,0.0003527225,0.00007929379,0.000007457716,0.00001756895,0.0004341707,0.00001697052,0.007881589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03314525,"threshold_uncertainty_score":0.1627104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481361163838165,"score_gpt":0.2891726126734265,"score_spread":0.2643590010350449,"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."}}