{"id":"W2187794223","doi":"","title":"CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Focus (optics); NIST; Similarity (geometry); Natural language processing; Track (disk drive); Artificial intelligence; Population; Translation (biology); Simple (philosophy); Entity linking; Information retrieval; Knowledge base; Image (mathematics); Operating system; Medicine; Chemistry","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":[0.003788755,0.001951311,0.001486909,0.005480782,0.002134074,0.004417271,0.003953076,0.002539066,0.03135991],"category_scores_gemma":[0.009142079,0.001242805,0.001169821,0.005075185,0.0004865041,0.006249409,0.003220778,0.003223364,0.05054704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003368419,"about_ca_system_score_gemma":0.005543313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04790511,"about_ca_topic_score_gemma":0.04197927,"domain_scores_codex":[0.9967809,0.0006554867,0.0003777085,0.0006958873,0.001131611,0.0003583505],"domain_scores_gemma":[0.9946895,0.0006006799,0.0002375593,0.001724721,0.002399022,0.0003486283],"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":[0.0002564371,0.0003097549,0.001500626,0.0006906139,0.00007874084,0.0002956499,0.0002985452,0.003827152,0.008855502,0.007590262,0.7414711,0.2348257],"study_design_scores_gemma":[0.0001564003,0.000192305,0.003477883,0.0001456205,0.0001143108,0.0007568909,0.0001859157,0.0557582,0.02701185,0.00395198,0.9080532,0.0001954488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01485065,0.003240264,0.3150945,0.003716708,0.00131055,0.003695984,0.1437008,0.4187415,0.09564913],"genre_scores_gemma":[0.03781175,0.001172521,0.3345436,0.001290839,0.0002003782,0.00287125,0.5656327,0.01161645,0.04486045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04790511,"threshold_uncertainty_score":0.1049094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648358767819585,"score_gpt":0.2250944414930602,"score_spread":0.1986108538148644,"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."}}