{"id":"W4285098274","doi":"10.1017/s0959269522000096","title":"Écrire son vernaculaire: variation et normes communautaires dans les messages textes en français québécois","year":2022,"lang":"fr","type":"article","venue":"Journal of French Language Studies","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Variation (astronomy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002937599,0.0004153738,0.0002976969,0.002029135,0.004044883,0.00454356,0.0004528635,0.0005577812,0.004512099],"category_scores_gemma":[0.007591069,0.0001688103,0.0001095786,0.002952186,0.004549844,0.001401388,0.0009296914,0.0009304388,0.0003175151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01385137,"about_ca_system_score_gemma":0.007289198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7836412,"about_ca_topic_score_gemma":0.807799,"domain_scores_codex":[0.9978418,0.0009413896,0.00009543489,0.0003021529,0.000574953,0.0002443166],"domain_scores_gemma":[0.9908515,0.003767623,0.0009958817,0.0003381846,0.003660265,0.0003865469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001428874,0.00002680417,0.07135995,0.0001769168,0.0000339329,0.0006073617,0.8588821,0.0002212336,0.007221402,0.01554873,0.002347101,0.04343149],"study_design_scores_gemma":[0.000008078415,0.00006360737,0.2985048,0.0002407119,0.00003583451,0.0003197558,0.6000579,0.0009920689,0.001991684,0.001074754,0.09663018,0.00008061487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769973,0.0004639811,0.001332747,0.00109885,0.00004095288,0.00002116462,0.0002426997,0.00002256998,0.01977968],"genre_scores_gemma":[0.9937766,0.0001493944,0.0004899083,0.00005922045,0.000008144672,0.00001335561,0.0000844062,0.00001402746,0.005404978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163588,"threshold_uncertainty_score":0.4352659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104052114620713,"score_gpt":0.2966406630992905,"score_spread":0.2756001419530834,"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."}}