{"id":"W2605554463","doi":"","title":"Phraséodidactique en FLM : exploitation des ressources lexicographiques","year":2016,"lang":"fr","type":"article","venue":"ORBi (University of Liège)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science","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":[0.001236425,0.00143066,0.0009089446,0.004317225,0.0007127326,0.002481445,0.001296319,0.0009878714,0.01860384],"category_scores_gemma":[0.005065362,0.000604154,0.001121108,0.003150753,0.0005258296,0.002560591,0.002413621,0.001612741,0.007969026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158311,"about_ca_system_score_gemma":0.001636827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004869984,"about_ca_topic_score_gemma":0.00954193,"domain_scores_codex":[0.9991857,0.0002820455,0.00005523376,0.0001690598,0.0002483817,0.00005948955],"domain_scores_gemma":[0.9987611,0.0006267422,0.00004117253,0.0002680253,0.0002655079,0.00003749263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003199195,0.0001962259,0.001581914,0.0007073932,0.0001100182,0.0001922248,0.0006015116,0.004344611,0.02057582,0.01404447,0.02121671,0.9361091],"study_design_scores_gemma":[0.0004024272,0.0005148822,0.007865231,0.0006044271,0.0004540176,0.001398381,0.002057387,0.6018587,0.08051749,0.07469519,0.2294406,0.0001911756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03645864,0.000897452,0.9070371,0.0006709207,0.0001854063,0.0003365317,0.00679385,0.03336164,0.0142585],"genre_scores_gemma":[0.1190204,0.0005103656,0.856659,0.0001352564,0.00007142235,0.0002414218,0.01078183,0.002482836,0.01009738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01860384,"threshold_uncertainty_score":0.06223601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356101393754372,"score_gpt":0.2861475745335268,"score_spread":0.2525865605959831,"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."}}