{"id":"W2400124070","doi":"","title":"Decayed DivRank for Guided Summarization.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Relevance (law); Sentence; Novelty; Multi-document summarization; Ranking (information retrieval); Information retrieval; Artificial intelligence; Natural language processing","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":[0.0003200454,0.00005202328,0.00007729681,0.00003815819,0.0001069779,0.00001702788,0.0003142325,0.00002595877,0.000007491956],"category_scores_gemma":[0.00003422115,0.0000472151,0.00001972095,0.0001125835,0.00008057986,0.0001584592,0.00006853239,0.0000202381,0.000001772402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002865206,"about_ca_system_score_gemma":0.00002183963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008474469,"about_ca_topic_score_gemma":0.000001077811,"domain_scores_codex":[0.999566,0.00002203326,0.0001476173,0.000143212,0.00004459394,0.0000765586],"domain_scores_gemma":[0.9993243,0.0001228914,0.00006046057,0.000339088,0.0001268002,0.0000265144],"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":[0.000006408772,0.00001465548,0.00009079313,0.00001373625,0.00000585956,1.856592e-8,0.0007829622,0.000006582177,0.0002602708,0.9746184,0.00003064545,0.02416967],"study_design_scores_gemma":[0.0001144756,0.00001416539,0.000166596,0.000002037717,0.000008525714,0.000001244989,0.0001047799,0.001132843,0.0157468,0.9798216,0.002825368,0.0000615129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00287803,0.0001667358,0.9924418,0.00007489544,0.0000240042,0.0002499667,0.00000332629,0.00005512412,0.004106118],"genre_scores_gemma":[0.9172369,0.00001944318,0.08209232,0.00007066777,0.00002926234,0.0002231242,0.000004768721,0.00000411883,0.0003193436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9143589,"threshold_uncertainty_score":0.1925376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980793330366627,"score_gpt":0.2607443788628585,"score_spread":0.2309364455591922,"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."}}