{"id":"W2402842738","doi":"","title":"Stanford's Distantly-Supervised Slot-Filling System","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Coreference; Knowledge base; Inference; Task (project management); Process (computing); Entity linking; Information retrieval; Population; Natural language processing; Artificial intelligence; World Wide Web; Resolution (logic); Programming language","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":[0.001562902,0.0007543392,0.0007425475,0.001507731,0.0008799415,0.0008580355,0.002370859,0.0008671647,0.01875306],"category_scores_gemma":[0.003647085,0.0005860589,0.0007813676,0.001324836,0.0003606942,0.002710835,0.001715267,0.0009975624,0.009327877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005897856,"about_ca_system_score_gemma":0.001502627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005026594,"about_ca_topic_score_gemma":0.007027759,"domain_scores_codex":[0.9990695,0.0001627562,0.00008699738,0.0003695558,0.0002517041,0.00005958409],"domain_scores_gemma":[0.9982259,0.0007580429,0.00008238257,0.0004096864,0.0004362387,0.00008780591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006722411,0.000275763,0.003596239,0.000709719,0.00008827122,0.0003863737,0.0006933699,0.009278564,0.03111463,0.0143372,0.2743106,0.6645371],"study_design_scores_gemma":[0.0003138606,0.0003064722,0.008349207,0.0001059446,0.0001769054,0.0009979972,0.0003952584,0.5438654,0.08633876,0.03263934,0.3262616,0.0002492241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04317449,0.0006072609,0.6838678,0.0005508077,0.0002938414,0.000500443,0.02216952,0.228436,0.02039977],"genre_scores_gemma":[0.1971111,0.0002221169,0.7334412,0.0003947226,0.0001364229,0.0005481233,0.04506729,0.003770016,0.01930903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01875306,"threshold_uncertainty_score":0.0627352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918659419108328,"score_gpt":0.2235037573126831,"score_spread":0.2043171631215998,"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."}}