{"id":"W3004469778","doi":"","title":"Utilisation d'un score de qualité de traduction pour le résumé multi-document cross-lingue","year":2011,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Mathematics","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":[0.01231722,0.001766436,0.001370024,0.01373895,0.001242746,0.007883704,0.001256781,0.003455976,0.00979731],"category_scores_gemma":[0.05810355,0.0004940467,0.001903383,0.006905042,0.001524122,0.007125944,0.002602998,0.001822461,0.007168871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235475,"about_ca_system_score_gemma":0.001287762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008882142,"about_ca_topic_score_gemma":0.006697497,"domain_scores_codex":[0.9815429,0.005626703,0.002729246,0.003443276,0.005808154,0.0008497295],"domain_scores_gemma":[0.9059869,0.06258287,0.005043817,0.006267086,0.01852502,0.001594269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004752163,0.0006410747,0.1615917,0.003218997,0.002867783,0.0007013634,0.00438325,0.02192916,0.03944741,0.003465641,0.02332878,0.7336727],"study_design_scores_gemma":[0.0004874785,0.004103628,0.4307351,0.001115013,0.002794679,0.002901362,0.01048499,0.3341702,0.1262759,0.0125653,0.0733206,0.001045746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.743076,0.005470661,0.1645272,0.002213903,0.0013988,0.0004245602,0.02601588,0.01573309,0.04113995],"genre_scores_gemma":[0.9140421,0.0005933348,0.05216284,0.0001727984,0.0002409328,0.000234473,0.01963915,0.001127332,0.01178708],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01373895,"threshold_uncertainty_score":0.06514049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449174034785063,"score_gpt":0.2962694179755883,"score_spread":0.2517776776277376,"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."}}