{"id":"W4206885663","doi":"","title":"Des mauvaises langues aux « mauvais mots » : ce qui se dénonce à l’école en milieu plurilingue au Québec","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptographic nonce; Humanities; Political science; Art; Computer science; Computer security","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":[0.002615395,0.0006643508,0.0004186564,0.002485462,0.01431523,0.0103372,0.001022707,0.002257231,0.01346543],"category_scores_gemma":[0.008355889,0.0004677155,0.0006077897,0.003530403,0.008522562,0.00477892,0.002614042,0.004963811,0.001310286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05300689,"about_ca_system_score_gemma":0.04015396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9687901,"about_ca_topic_score_gemma":0.9729717,"domain_scores_codex":[0.9971759,0.0008956904,0.00009016915,0.0004116604,0.0008767497,0.0005496499],"domain_scores_gemma":[0.9959409,0.0009441025,0.0002866317,0.0003263864,0.001967613,0.00053438],"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":[0.0002870037,0.0000497973,0.01876585,0.0003683982,0.00009556528,0.001089571,0.1739122,0.0009080966,0.00387143,0.6311567,0.0638978,0.1055977],"study_design_scores_gemma":[0.00002023217,0.0000308262,0.04068739,0.0003087378,0.00004366029,0.000442455,0.06071876,0.001026449,0.001393858,0.01093058,0.8842885,0.0001084585],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4622439,0.0179338,0.02553295,0.09051093,0.002712677,0.0001788446,0.003112284,0.0005497317,0.3972248],"genre_scores_gemma":[0.8378063,0.002619977,0.004740626,0.001899122,0.0002300986,0.00006883481,0.0004803535,0.0002235891,0.1519311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05300689,"threshold_uncertainty_score":0.3845937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599013708506229,"score_gpt":0.2576889666996163,"score_spread":0.231698829614554,"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."}}