{"id":"W4281985096","doi":"10.3917/lang.226.0069","title":"La dynamique de la variation pronominale : micro-diachronie des formes simples et complexes en français montréalais","year":2022,"lang":"fr","type":"article","venue":"Langages","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","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":[0.001052384,0.0002427933,0.0003011528,0.002547484,0.002331424,0.00223392,0.0004352136,0.0002665274,0.006720799],"category_scores_gemma":[0.002829095,0.0003056402,0.0002386744,0.004403044,0.002865436,0.0006789202,0.00150415,0.0004260312,0.0003784006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006203153,"about_ca_system_score_gemma":0.003005744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.680104,"about_ca_topic_score_gemma":0.8323334,"domain_scores_codex":[0.9988723,0.0002457215,0.00005788078,0.000325063,0.0002692948,0.000229599],"domain_scores_gemma":[0.9977489,0.0006854311,0.0004882623,0.00016373,0.0007037195,0.0002098324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002396395,0.0000346951,0.6599131,0.0002154152,0.0001871201,0.001020003,0.2210947,0.0005139316,0.01548578,0.01248159,0.001432341,0.08738176],"study_design_scores_gemma":[0.000003290905,0.00002765434,0.9601178,0.00003428142,0.0000228584,0.0002951364,0.02609757,0.0002035659,0.0004854214,0.0004409944,0.01224513,0.00002627435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925725,0.0006289325,0.0003867702,0.0001465344,0.000006196541,0.000008575244,0.0002853293,0.00000873399,0.005956428],"genre_scores_gemma":[0.9973411,0.000182901,0.0002241504,0.00001324415,0.000002298863,0.000004682275,0.00009522223,0.00001016976,0.002126273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319896,"threshold_uncertainty_score":0.6435598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593328908617436,"score_gpt":0.2978925834816631,"score_spread":0.2819592943954888,"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."}}