{"id":"W2586449250","doi":"10.71781/9940","title":"Une approche CBR textuel de réponse au courrier électronique","year":2004,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Art","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003221624,0.001104382,0.001430217,0.003363042,0.001505179,0.005557752,0.003488069,0.00346629,0.02102093],"category_scores_gemma":[0.01442245,0.00063684,0.001608987,0.002325021,0.001335849,0.006386559,0.002302194,0.002677596,0.006714371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594306,"about_ca_system_score_gemma":0.001851549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141046,"about_ca_topic_score_gemma":0.02415188,"domain_scores_codex":[0.9960634,0.001074667,0.0002252288,0.0006934775,0.001729122,0.0002141098],"domain_scores_gemma":[0.993848,0.002616355,0.0001594152,0.001432962,0.001783731,0.0001594613],"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":[0.0007265006,0.0004068878,0.001027378,0.0008932416,0.000174138,0.0008391277,0.001535638,0.02244891,0.01928767,0.05154934,0.07988221,0.8212289],"study_design_scores_gemma":[0.0003573258,0.0001813261,0.001081836,0.0005413265,0.0003183413,0.001041447,0.001162671,0.4631197,0.0482883,0.06414866,0.4195993,0.0001596426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00858964,0.002099568,0.9404698,0.002520085,0.0005061789,0.0003531549,0.0007843262,0.02678213,0.01789513],"genre_scores_gemma":[0.1519271,0.002114622,0.7745642,0.001469906,0.0003884233,0.0002584026,0.003422011,0.003785393,0.06206986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02141046,"threshold_uncertainty_score":0.07032198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425626768173609,"score_gpt":0.3233745639654609,"score_spread":0.2891182962837249,"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."}}