{"id":"W2970776494","doi":"","title":"A Symbolic Summarizer for the Update Task of TAC 2008.","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Programming language; Natural language processing; Systems engineering; Engineering","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":[0.001213904,0.000824208,0.0009635267,0.001221276,0.0006413917,0.001461074,0.001704491,0.001161883,0.02053356],"category_scores_gemma":[0.007179706,0.0003885723,0.0005372966,0.001117615,0.0002776283,0.002877854,0.001369014,0.001253061,0.01233631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914305,"about_ca_system_score_gemma":0.0009019562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476188,"about_ca_topic_score_gemma":0.003794039,"domain_scores_codex":[0.9991731,0.0002225799,0.00010193,0.0001803604,0.0002510709,0.00007085737],"domain_scores_gemma":[0.9982314,0.0007067824,0.00008856953,0.0004956307,0.0003785404,0.00009916972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001277194,0.0002404634,0.0009836708,0.000787843,0.0001270856,0.0003663506,0.0004845414,0.004232053,0.02631241,0.01520999,0.2346595,0.7153189],"study_design_scores_gemma":[0.0008005154,0.001196311,0.003054093,0.0002507361,0.000417985,0.001034059,0.0006302284,0.4134667,0.09280606,0.09000059,0.3961754,0.000167243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02508639,0.001532291,0.7477488,0.00127129,0.0008919,0.0004805724,0.0132139,0.1938714,0.01590348],"genre_scores_gemma":[0.2061003,0.0005634489,0.7372751,0.0005248207,0.0004107847,0.0006146803,0.02607539,0.005722718,0.02271276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02053356,"threshold_uncertainty_score":0.06869161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008506072012932964,"score_gpt":0.2537087529512757,"score_spread":0.2452026809383427,"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."}}