{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001398981,0.0001648485,0.0002697014,0.0002354996,0.0005724389,0.00002583224,0.0004900847,0.0003095334,0.00305358],"category_scores_gemma":[0.0002113949,0.0001712836,0.0001878176,0.0006598977,0.0026707,0.001110352,0.0000831752,0.0001934404,0.0001355595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183172,"about_ca_system_score_gemma":0.00008806351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712466,"about_ca_topic_score_gemma":0.008205101,"domain_scores_codex":[0.9968101,0.001950183,0.0001436614,0.0003322148,0.0003664426,0.0003974104],"domain_scores_gemma":[0.9979935,0.001094643,0.000276911,0.0002472596,0.0002098146,0.0001778915],"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":[0.00007528791,0.0001658354,0.05021798,0.0001628305,0.0001532002,0.00008064452,0.3241898,0.000009421275,0.01382121,0.03096603,0.001781797,0.5783759],"study_design_scores_gemma":[0.001694551,0.0007737753,0.1879453,0.002541741,0.0003812708,0.00001283332,0.1573079,0.00005240629,0.006554512,0.03683818,0.6047708,0.001126747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198168,0.004297078,0.02721463,0.01696105,0.0004699778,0.0001626227,0.00001795412,0.0001445573,0.03091532],"genre_scores_gemma":[0.8780972,0.005465928,0.0453412,0.00004647313,0.0002257786,3.560235e-7,0.000001777871,0.00001807318,0.07080321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602989,"threshold_uncertainty_score":0.9978577,"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."}}