{"id":"W4400130316","doi":"10.1051/shsconf/202419100002","title":"Micro-diachronie de l’oral en français laurentien : la mouvance des normes communautaires","year":2024,"lang":"fr","type":"article","venue":"SHS Web of Conferences","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Political science; Geography","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":[0.003008008,0.0003237345,0.0003618594,0.002068461,0.005844506,0.00478795,0.000630995,0.000589375,0.006545655],"category_scores_gemma":[0.006360179,0.0002373314,0.0002092343,0.002333908,0.005962456,0.00165124,0.002918835,0.001106711,0.0004191282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125884,"about_ca_system_score_gemma":0.00771964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6088811,"about_ca_topic_score_gemma":0.6883113,"domain_scores_codex":[0.9971936,0.0009637132,0.0001448994,0.0004460888,0.0006101069,0.0006416307],"domain_scores_gemma":[0.9945133,0.002211232,0.0009623725,0.0003455527,0.001240345,0.0007272083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001060045,0.0000411926,0.09769586,0.00009598871,0.00002188966,0.001228042,0.8505964,0.00009862272,0.003670668,0.01207436,0.0009978906,0.03337299],"study_design_scores_gemma":[0.000008003422,0.00007811253,0.2514353,0.0001073889,0.0000192518,0.0006587298,0.6911273,0.0003101381,0.001213417,0.0007668973,0.05421288,0.00006260998],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875666,0.0003426195,0.0003554875,0.0005558731,0.00001574207,0.00001564262,0.00008556632,0.000007844773,0.01105467],"genre_scores_gemma":[0.9945258,0.0001076097,0.0001355438,0.00003698684,0.00000414643,0.000007740938,0.00002795648,0.000005444982,0.005148747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3911189,"threshold_uncertainty_score":0.7868446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242314958669285,"score_gpt":0.2858363959071176,"score_spread":0.261604900040189,"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."}}