{"id":"W1558580335","doi":"","title":"Quand l’erreur de vocabulaire se déguise en erreur de grammaire","year":2014,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Philosophy; Humanities","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":[0.01422086,0.002176921,0.001616056,0.003132579,0.003400825,0.01243745,0.002126219,0.00495629,0.01541117],"category_scores_gemma":[0.0557886,0.00147178,0.002003626,0.001883042,0.005765331,0.01385192,0.003465568,0.009470618,0.01106305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005805008,"about_ca_system_score_gemma":0.007570378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05603487,"about_ca_topic_score_gemma":0.04645541,"domain_scores_codex":[0.9671808,0.01257489,0.001532921,0.005675307,0.01171214,0.001323956],"domain_scores_gemma":[0.973367,0.01139255,0.001658064,0.004575021,0.008274427,0.0007329774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00089803,0.0001875143,0.01190891,0.0004695387,0.000431817,0.0008323459,0.004162918,0.0118362,0.05614157,0.7370939,0.01600051,0.1600367],"study_design_scores_gemma":[0.0004025596,0.0005667023,0.03736421,0.000802845,0.0003901516,0.003958194,0.009444305,0.09472019,0.1214158,0.3481442,0.3821795,0.0006113522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195225,0.004098189,0.6585175,0.02335078,0.00256858,0.0002105271,0.001101642,0.004750085,0.1858802],"genre_scores_gemma":[0.6429363,0.002613075,0.2307352,0.004003516,0.001217442,0.0003731436,0.001707532,0.004132386,0.1122814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05603487,"threshold_uncertainty_score":0.1114174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320168045263628,"score_gpt":0.190004693921791,"score_spread":0.1768030134691547,"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."}}