{"id":"W2295971361","doi":"","title":"UofL at TAC 2011 Guided Summarization Task","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Task (project management); Latent semantic analysis; Component (thermodynamics); Artificial intelligence; Natural language processing; 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":[0.004994636,0.002798269,0.001798353,0.002556382,0.002380709,0.002488006,0.002155864,0.00293459,0.01607287],"category_scores_gemma":[0.01699117,0.0005404882,0.001028765,0.0020779,0.0005010224,0.002991802,0.002022981,0.002015735,0.01049826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150132,"about_ca_system_score_gemma":0.001993998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223617,"about_ca_topic_score_gemma":0.02105075,"domain_scores_codex":[0.9948428,0.002175081,0.0004562586,0.001232774,0.000886823,0.0004062356],"domain_scores_gemma":[0.98972,0.003829455,0.0004438141,0.001676438,0.00381388,0.0005163864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001752545,0.0006842656,0.001509564,0.001844151,0.0003221459,0.0007918898,0.001370342,0.008373142,0.03280319,0.0017784,0.574631,0.3741393],"study_design_scores_gemma":[0.002761411,0.003150537,0.01665526,0.0003677186,0.0006358111,0.001269588,0.003429154,0.2227011,0.1277557,0.01337564,0.6072426,0.0006554817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.244469,0.007974276,0.2888591,0.00463311,0.005258415,0.00586457,0.1390809,0.2429318,0.06092883],"genre_scores_gemma":[0.2955079,0.0007670504,0.3138653,0.001531217,0.0009205451,0.003572563,0.3371832,0.006868183,0.039784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01607287,"threshold_uncertainty_score":0.05376911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365295046175771,"score_gpt":0.2515647609551245,"score_spread":0.2379118104933668,"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."}}