{"id":"W2401480511","doi":"","title":"NUS at TAC 2008: Augumenting Timestamped Graphs with Event Information and Selectively Expanding Opinion Contexts.","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Physics; Astrophysics","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":[0.0002785918,0.00008118698,0.0001034663,0.00007925578,0.0003521085,0.00003260086,0.0001299468,0.00002706431,0.000002870233],"category_scores_gemma":[0.00001147191,0.00006924976,0.00001251443,0.0001803936,0.0001432539,0.0006467527,0.00009248721,0.00004724036,0.000001868395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001456201,"about_ca_system_score_gemma":0.00003408364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001662303,"about_ca_topic_score_gemma":0.000001513742,"domain_scores_codex":[0.9994404,0.00003756804,0.0001794481,0.0001375276,0.00009935625,0.0001057502],"domain_scores_gemma":[0.9994708,0.0001021107,0.0001350593,0.0001820563,0.00007231259,0.00003767846],"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":[0.00003104896,0.00001480692,0.001573638,0.00003367327,0.00001534173,1.477043e-7,0.004383801,0.00006796257,0.0003936504,0.9508984,0.00002413163,0.0425634],"study_design_scores_gemma":[0.003082127,0.0004643359,0.02627309,0.0001577737,0.00006448618,0.0004701318,0.00399117,0.01168055,0.07923102,0.8582597,0.01518871,0.001136943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2703428,0.0003927767,0.728254,0.00005782797,0.00001344622,0.0002164773,0.00000201198,0.00004662063,0.0006739849],"genre_scores_gemma":[0.9960195,0.0001522744,0.003595897,0.00002727235,0.00001212534,0.00008058466,0.00000742354,0.000003049051,0.0001019086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7256767,"threshold_uncertainty_score":0.2823923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007914126589950565,"score_gpt":0.23338932594666,"score_spread":0.2254751993567094,"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."}}