{"id":"W2185054416","doi":"","title":"The Italica System at TAC 2008 Opinion Summarization Task","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Task (project management); Pyramid (geometry); Sentence; Process (computing); Information retrieval; Relation (database); Natural language processing; Artificial intelligence; Data mining; Programming language; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003553529,0.00006733665,0.00008259463,0.00002801644,0.0006679618,0.00002950126,0.0003759896,0.00003287408,0.000001203333],"category_scores_gemma":[0.00001779318,0.00004929608,0.00002104374,0.0001734543,0.0002045686,0.0001566394,0.0001505852,0.00003877912,0.00000908947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830013,"about_ca_system_score_gemma":0.00002984843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009783513,"about_ca_topic_score_gemma":0.000001592775,"domain_scores_codex":[0.9993671,0.00007338967,0.0001810063,0.0001672182,0.0001102182,0.0001010373],"domain_scores_gemma":[0.9990757,0.0002237139,0.00009630665,0.0004971959,0.00007502072,0.00003203815],"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":[0.000005913917,0.000006616716,0.0001103644,0.00001659115,0.000005166238,1.004121e-7,0.0004532374,0.00004949904,0.0002632362,0.9924777,0.0001421295,0.006469492],"study_design_scores_gemma":[0.0006896224,0.0001029533,0.002676365,0.00005509879,0.00003271791,0.0002473,0.002024212,0.02641569,0.0199233,0.6704654,0.2767222,0.0006451602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008329213,0.001419278,0.9862045,0.0003071712,0.00007972746,0.0002334255,0.000004024853,0.00009644825,0.003326199],"genre_scores_gemma":[0.9975164,0.0003195927,0.001235119,0.00002029886,0.00006477986,0.0001142507,0.000008093384,0.000004321297,0.0007171418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891872,"threshold_uncertainty_score":0.513749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110081756813491,"score_gpt":0.2252829016983031,"score_spread":0.214274726016954,"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."}}