{"id":"W2394737088","doi":"","title":"Global and Local Models for Multi-Document Summarization.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Multi-document summarization; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143695,0.00005464528,0.00007260974,0.00001850138,0.00008929282,0.00002046879,0.0001808769,0.00002564781,0.000001720306],"category_scores_gemma":[0.000005997089,0.00004968122,0.0000122479,0.00007581538,0.0001327975,0.0002282222,0.0000913422,0.00001502512,3.906471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006056313,"about_ca_system_score_gemma":0.00001943202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000217362,"about_ca_topic_score_gemma":0.000004481253,"domain_scores_codex":[0.999591,0.00001824256,0.0001175549,0.00015742,0.00004156884,0.00007422051],"domain_scores_gemma":[0.9996057,0.00004424085,0.0000421198,0.000215551,0.00005879023,0.0000336469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007787659,0.00001599689,0.00007365507,0.00001553185,0.000005364029,2.28396e-8,0.0005735925,0.0001766547,0.000007469961,0.9447189,0.000003249074,0.0544018],"study_design_scores_gemma":[0.0001424248,0.00001557607,0.0001232195,0.000002173845,0.000007510062,0.000001689477,0.0002088509,0.06005922,0.0006800875,0.9384842,0.0002207917,0.00005426229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001817248,0.0003767585,0.996691,0.00003812032,0.00001436573,0.0002348171,0.000006111071,0.00003345741,0.0007881612],"genre_scores_gemma":[0.8731139,0.00003121532,0.1266038,0.00003183603,0.00001010886,0.0001257433,0.000002397152,0.000002108723,0.00007886025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8712967,"threshold_uncertainty_score":0.2025941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929757518196145,"score_gpt":0.2665994952014523,"score_spread":0.2373019200194909,"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."}}