{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001916217,0.001147317,0.001051716,0.001783512,0.0006801034,0.001478327,0.001333761,0.0009752203,0.003073867],"category_scores_gemma":[0.008339145,0.0003620003,0.0007035945,0.001761191,0.0006728137,0.002642955,0.001106879,0.001284402,0.002009006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006950486,"about_ca_system_score_gemma":0.00101342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221654,"about_ca_topic_score_gemma":0.003087308,"domain_scores_codex":[0.9977756,0.0009386664,0.0001670586,0.0004335122,0.0005945448,0.00009043279],"domain_scores_gemma":[0.9957495,0.001912439,0.0004614303,0.0007764409,0.0009599585,0.0001402524],"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":[0.0003415798,0.0001529281,0.00130473,0.0007261563,0.0001694515,0.0002339118,0.0003930639,0.08767623,0.03030147,0.07763488,0.02105562,0.78001],"study_design_scores_gemma":[0.00006693318,0.0002961073,0.0005137099,0.00004908892,0.00007552584,0.000232543,0.0000789763,0.8703524,0.01693683,0.0784809,0.032859,0.00005796026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004200247,0.0008077883,0.991868,0.0001414065,0.00008088058,0.0001102495,0.0002033099,0.001258581,0.001329745],"genre_scores_gemma":[0.1731914,0.0009540574,0.8157024,0.0002628144,0.0003947845,0.0004183866,0.001908923,0.0004568553,0.006710319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003073867,"threshold_uncertainty_score":0.01028311,"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."}}