{"id":"W2397043688","doi":"","title":"Strong Baselines for Cross-Lingual Entity Linking.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Entity linking; Simplicity; Task (project management); Context (archaeology); Natural language processing; Artificial intelligence; Competition (biology); Population; Geography; Knowledge base; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005369466,0.00006242433,0.00008780696,0.00003661029,0.0001466133,0.00003886694,0.0003542725,0.00003310195,0.000007431512],"category_scores_gemma":[0.00003256417,0.00005745829,0.00002860639,0.00007981792,0.0001366994,0.0002041826,0.00009423038,0.00003823409,0.000001805552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003137937,"about_ca_system_score_gemma":0.00003000515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001188874,"about_ca_topic_score_gemma":0.000002608869,"domain_scores_codex":[0.999481,0.00002218974,0.0001650156,0.0001780455,0.00005481293,0.00009891229],"domain_scores_gemma":[0.9992856,0.0001465531,0.00007325014,0.0003433334,0.0001224119,0.00002884845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001018358,0.00002084571,0.0005130285,0.00002833519,0.000005712309,3.909213e-8,0.0008601294,0.00001428472,0.0001088906,0.9617533,0.000002687424,0.03668257],"study_design_scores_gemma":[0.0001316978,0.00002309478,0.0003669341,0.000004774543,0.000009523256,0.000001553708,0.0001651303,0.001754184,0.02044691,0.9750268,0.001984456,0.00008487143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05191337,0.0002371274,0.9463076,0.00002248027,0.00004504806,0.0001874241,0.000006488831,0.00005617685,0.001224295],"genre_scores_gemma":[0.9539033,0.00001187685,0.04564783,0.00002387508,0.00008453785,0.000107716,0.000004140153,0.000003877857,0.0002129127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9019899,"threshold_uncertainty_score":0.2343081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974990633002732,"score_gpt":0.2909864075180485,"score_spread":0.2612365011880212,"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."}}