{"id":"W2398387993","doi":"","title":"CLASSY 2011 at TAC: Guided and Multi-lingual Summaries and Evaluation Metrics.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.01770492,0.002707414,0.002058568,0.01133262,0.002273267,0.004768879,0.002762008,0.003289738,0.01193511],"category_scores_gemma":[0.08678232,0.000625378,0.00120869,0.006980216,0.0007554045,0.005107658,0.00371378,0.002476466,0.01015366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981159,"about_ca_system_score_gemma":0.003660043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270834,"about_ca_topic_score_gemma":0.02035068,"domain_scores_codex":[0.9653577,0.01565968,0.004294547,0.002717292,0.01080157,0.001169135],"domain_scores_gemma":[0.9086795,0.02606882,0.004217949,0.01788914,0.03859453,0.004550027],"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":[0.001702747,0.001084475,0.00496067,0.00248579,0.0006999058,0.0002335356,0.001191923,0.007203854,0.01699727,0.002584208,0.6663132,0.2945424],"study_design_scores_gemma":[0.003404602,0.004986094,0.0590221,0.0009145178,0.001028682,0.00129146,0.003097641,0.2283819,0.0966106,0.01253283,0.587652,0.00107761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2329898,0.009640289,0.2136193,0.004503454,0.006311832,0.008292551,0.2733511,0.195323,0.0559687],"genre_scores_gemma":[0.2425616,0.0008229737,0.2649462,0.0005975516,0.000822546,0.005227207,0.4469612,0.01259327,0.02546761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01770492,"threshold_uncertainty_score":0.09363365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780621551233317,"score_gpt":0.324504377454933,"score_spread":0.2766981619425999,"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."}}