{"id":"W2394807234","doi":"","title":"The UC3M team at the Knowledge Base Population task.","year":2009,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spurious relationship; Computer science; Task (project management); Knowledge base; Entity linking; Baseline (sea); Population; Similarity (geometry); Information retrieval; Base (topology); Open source; Information extraction; Data mining; World Wide Web; Artificial intelligence; Machine learning; Software; Mathematics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005656267,0.00007327533,0.0001033469,0.00004261212,0.0008868973,0.0001405042,0.0005862519,0.00002470012,0.00005560286],"category_scores_gemma":[0.0004626874,0.00003539499,0.00003813481,0.0003601961,0.0003815438,0.0001667085,0.0001584328,0.0000525365,0.0001004562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001020893,"about_ca_system_score_gemma":0.00001532105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001534133,"about_ca_topic_score_gemma":0.00008676419,"domain_scores_codex":[0.9987873,0.0003134735,0.0003283079,0.0001912137,0.0002635572,0.0001161832],"domain_scores_gemma":[0.9968434,0.002036871,0.0001638705,0.0008185807,0.0001019218,0.00003535884],"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":[0.00002912233,0.00002599537,0.00004272175,0.000001739116,0.000004677787,1.720249e-8,0.0003664923,0.0000067093,0.00005863277,0.8150169,0.006328467,0.1781185],"study_design_scores_gemma":[0.00004700952,0.0000141515,0.003398892,0.000001083927,0.00001296503,6.780276e-7,0.001930322,0.00001589406,0.0002785889,0.6679499,0.3263147,0.00003590576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2066829,0.01910164,0.2325344,0.04249993,0.0005396328,0.004655167,0.0004031727,0.0002916715,0.4932914],"genre_scores_gemma":[0.9869356,0.0001177761,0.00003656435,0.0002257372,0.00005494445,0.00006354714,0.00002746955,0.000002499769,0.01253587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7802527,"threshold_uncertainty_score":0.6821386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235524182396751,"score_gpt":0.3666270019531516,"score_spread":0.3242717601291841,"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."}}