{"id":"W2187175884","doi":"","title":"WHUSUM Participation at TAC 2011 Guided Summarization Track","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Novelty; Computer science; Information retrieval; Multi-document summarization; Task (project management); Track (disk drive); Ranking (information retrieval); Graph; Natural language processing; Theoretical computer science; 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":[0.009734739,0.001502321,0.001311585,0.00205846,0.003271434,0.002675846,0.002447012,0.002149839,0.02181692],"category_scores_gemma":[0.0165434,0.0005574025,0.0007312932,0.00146774,0.0005329095,0.002984825,0.003333932,0.00223988,0.01132271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493058,"about_ca_system_score_gemma":0.002680381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01359328,"about_ca_topic_score_gemma":0.0268803,"domain_scores_codex":[0.9931497,0.00295792,0.000296853,0.001053074,0.001783297,0.0007591188],"domain_scores_gemma":[0.9876072,0.00373403,0.0003470677,0.001727027,0.005192252,0.001392425],"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":[0.003362201,0.001754227,0.004807571,0.000925134,0.0002989459,0.001061838,0.01129602,0.003271241,0.053164,0.002818526,0.6344247,0.2828156],"study_design_scores_gemma":[0.001447621,0.00272917,0.01729912,0.0001143479,0.0002978118,0.0004601652,0.005677734,0.04173553,0.06281417,0.003495826,0.8635747,0.0003538819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.420622,0.002300414,0.224317,0.01028129,0.007673669,0.01030659,0.09157043,0.1146114,0.1183172],"genre_scores_gemma":[0.4112182,0.0004557149,0.220023,0.002191517,0.001802998,0.007437333,0.201207,0.009276718,0.1463876],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02181692,"threshold_uncertainty_score":0.07298481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580262538954557,"score_gpt":0.2674764253014635,"score_spread":0.231673799911918,"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."}}