{"id":"W2188227831","doi":"","title":"BUPTTeam Participation at TAC 2013 Entity Linking","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entity linking; Computer science; Task (project management); Cluster analysis; Named-entity recognition; Named entity; Information retrieval; Natural language processing; Artificial intelligence; Knowledge base","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":[0.01586844,0.001573774,0.001584502,0.00375054,0.005976017,0.007140236,0.004271517,0.003881354,0.05206284],"category_scores_gemma":[0.02149011,0.0009019957,0.0009528347,0.004111591,0.001243916,0.008670115,0.01183134,0.005215354,0.03828811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272613,"about_ca_system_score_gemma":0.004305373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107402,"about_ca_topic_score_gemma":0.0157632,"domain_scores_codex":[0.988098,0.003422965,0.0003721674,0.00167587,0.005137583,0.001293425],"domain_scores_gemma":[0.9863572,0.003026767,0.0002452238,0.003503245,0.003790227,0.003077329],"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":[0.0007732736,0.0005920987,0.001428323,0.000223011,0.00006224736,0.0007701645,0.001238939,0.002277113,0.005791981,0.01156826,0.7279225,0.2473521],"study_design_scores_gemma":[0.000129083,0.0001695007,0.00121237,0.0000900711,0.00003275364,0.000453079,0.0003753426,0.01780981,0.00827702,0.007918947,0.9634419,0.00009013091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06647434,0.006067081,0.2894613,0.03863309,0.0219028,0.002833188,0.02676493,0.06072574,0.4871376],"genre_scores_gemma":[0.1716183,0.002190847,0.2316076,0.005758388,0.004904283,0.002552074,0.1082184,0.01262225,0.4605279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05206284,"threshold_uncertainty_score":0.1741676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011915011603889,"score_gpt":0.249709584571197,"score_spread":0.2395904344551582,"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."}}