{"id":"W2400809607","doi":"","title":"ECNU: Brief System Description of Submission to Knowledge Base Population at TAC 2011.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entity linking; Knowledge base; Computer science; Base (topology); Population; Information retrieval; Natural language processing; World Wide Web; Mathematics; Medicine","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":[0.01331978,0.001534564,0.002190617,0.006576335,0.003220491,0.008390663,0.003752218,0.002375782,0.1290871],"category_scores_gemma":[0.07658915,0.001265259,0.001130302,0.006585275,0.0005405245,0.006065229,0.005451624,0.002337824,0.1472924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903342,"about_ca_system_score_gemma":0.007688859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746549,"about_ca_topic_score_gemma":0.01780119,"domain_scores_codex":[0.9859185,0.004756273,0.002107025,0.001947788,0.004248587,0.001021791],"domain_scores_gemma":[0.9546793,0.007908607,0.0008639151,0.01106645,0.02272167,0.002760075],"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":[0.0004400314,0.00007510832,0.001281583,0.0004879779,0.00004473525,0.0001690727,0.0003280224,0.000619542,0.001797263,0.001355887,0.91965,0.07375086],"study_design_scores_gemma":[0.0001388943,0.0001229905,0.003443629,0.0002404398,0.00005276944,0.0003618469,0.0004065511,0.009311281,0.007963984,0.003489861,0.9743002,0.0001676031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01201308,0.002143913,0.1690603,0.004977645,0.006449623,0.004396206,0.3728081,0.3375203,0.09063077],"genre_scores_gemma":[0.03535788,0.0006763106,0.1737727,0.002406181,0.001014187,0.004791678,0.692557,0.041131,0.04829315],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1290871,"threshold_uncertainty_score":0.4318393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095678662970346,"score_gpt":0.3443977628546998,"score_spread":0.2348298965576652,"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."}}