{"id":"W2185451889","doi":"","title":"JRC's Participation at TAC 2011: Guided and Multilingual Summarization Tasks","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Readability; Paraphrase; Natural language processing; Task (project management); Redundancy (engineering); Sentence; Grammaticality; Artificial intelligence; Linguistics; Grammar; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01179869,0.002458145,0.002774487,0.001632491,0.003001392,0.003212141,0.002932405,0.003663296,0.01218015],"category_scores_gemma":[0.01926341,0.0007140968,0.001546698,0.001688176,0.0006445161,0.003033835,0.002421545,0.003637258,0.008770813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084114,"about_ca_system_score_gemma":0.0028564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368127,"about_ca_topic_score_gemma":0.02094788,"domain_scores_codex":[0.9914894,0.003537019,0.0005615886,0.001569701,0.001745858,0.001096549],"domain_scores_gemma":[0.9780223,0.006857236,0.0003800469,0.003268717,0.008262851,0.003208826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003431699,0.004064885,0.003115742,0.001175903,0.0004936816,0.001975517,0.006577021,0.01085271,0.06302718,0.001694817,0.5592549,0.3443359],"study_design_scores_gemma":[0.004001569,0.007511505,0.0357714,0.0002000953,0.0005643017,0.002382775,0.007552279,0.1519853,0.1355706,0.006964729,0.6462581,0.001237254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6744702,0.002417868,0.1187044,0.0131201,0.004850785,0.006331089,0.06474993,0.06454159,0.05081403],"genre_scores_gemma":[0.5594519,0.0005615616,0.2068289,0.002162904,0.001464785,0.003160262,0.1601747,0.008312674,0.05788224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01368127,"threshold_uncertainty_score":0.0623982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353009071716854,"score_gpt":0.282106949434845,"score_spread":0.2485768587176765,"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."}}