{"id":"W2400166611","doi":"","title":"Supervised Learning for Linking Named Entities to Knowledge Base Entries.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Entity linking; Task (project management); Artificial intelligence; Rank (graph theory); Base (topology); Information retrieval; Range (aeronautics); Machine learning; Supervised learning; Feature (linguistics); Simple (philosophy); Data mining; Natural language processing; Mathematics; Artificial neural network","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":[0.0005478711,0.00007586751,0.0001142042,0.00008119561,0.0001961301,0.00003845647,0.0003507548,0.00003116158,0.00001301374],"category_scores_gemma":[0.00005296757,0.00007323742,0.00002924602,0.0001512205,0.00008198897,0.0001761873,0.0001419039,0.00005244598,0.000006048262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007280942,"about_ca_system_score_gemma":0.0000437222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008790652,"about_ca_topic_score_gemma":0.00000322138,"domain_scores_codex":[0.9994015,0.00004690956,0.0001634527,0.0001946929,0.00005195156,0.0001415151],"domain_scores_gemma":[0.9992519,0.0002432705,0.00004804281,0.0002874199,0.0001141419,0.00005523898],"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":[0.00001518429,0.00002050139,0.0001545466,0.00004875061,0.000007274631,5.200536e-8,0.01091127,0.00002267794,0.000419101,0.944609,0.000006335164,0.04378525],"study_design_scores_gemma":[0.0002800273,0.00008034894,0.0001488487,0.00002585755,0.00002095845,0.000002182238,0.002730988,0.004102139,0.04536339,0.9343546,0.01268944,0.0002012379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03081832,0.000422743,0.9656263,0.00006016625,0.00004072649,0.0003043873,0.00000182644,0.00008111176,0.002644432],"genre_scores_gemma":[0.9678962,0.00002037062,0.03097455,0.0000379204,0.00005179432,0.0002864339,0.00000380521,0.000006166279,0.0007227968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9370778,"threshold_uncertainty_score":0.2986535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576742071232573,"score_gpt":0.252675748689076,"score_spread":0.2269083279767503,"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."}}