{"id":"W3161091298","doi":"10.3917/ela.201.0050","title":"Exploration de la lexicographie numérique pour des apprenants du français en milieu professionnel","year":2021,"lang":"fr","type":"article","venue":"Éla Études de linguistique appliquée","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association; Université de Sherbrooke","funders":"","keywords":"Political science; Humanities; Art","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":[0.00195455,0.0007962885,0.0005307839,0.00440257,0.002144084,0.004595041,0.0005340811,0.0009094098,0.01469386],"category_scores_gemma":[0.00834466,0.0002711086,0.0005852077,0.004662946,0.001232019,0.002298563,0.0013778,0.0006820617,0.003593099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556286,"about_ca_system_score_gemma":0.006344231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1067313,"about_ca_topic_score_gemma":0.201386,"domain_scores_codex":[0.9985206,0.0005817559,0.0001304994,0.0002727504,0.0003930693,0.0001013972],"domain_scores_gemma":[0.9950922,0.003014509,0.0002503697,0.0002935603,0.001196094,0.0001532508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000615511,0.0002440571,0.0400985,0.003699242,0.0001016812,0.001978029,0.08108998,0.0021955,0.04488108,0.01580541,0.01514624,0.7941448],"study_design_scores_gemma":[0.00009926414,0.0005113237,0.1170269,0.002344018,0.0002583467,0.004210057,0.1479755,0.01695496,0.03042876,0.008698825,0.6712285,0.0002637021],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6786882,0.007147718,0.1673907,0.004526602,0.0003576215,0.0007585467,0.008074226,0.004694965,0.1283615],"genre_scores_gemma":[0.6668336,0.004967521,0.2619957,0.0003709635,0.00007942229,0.0004566655,0.006355758,0.0006092268,0.05833106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067313,"threshold_uncertainty_score":0.21222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743151372064609,"score_gpt":0.3432814180252811,"score_spread":0.315849904304635,"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."}}