{"id":"W2295082727","doi":"","title":"Stanford's 2013 KBP System","year":2013,"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":"Consistency (knowledge bases); Inference; Computer science; Component (thermodynamics); Data mining; Information retrieval; Artificial intelligence","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":[0.0002431427,0.00005845151,0.00008920355,0.00003717848,0.00009253708,0.00005471748,0.0003448671,0.00002610743,0.00001445761],"category_scores_gemma":[0.000005399134,0.00004926104,0.00001552343,0.0001141974,0.0000822493,0.0002912577,0.00009851758,0.00003722277,0.000042345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006846012,"about_ca_system_score_gemma":0.00001777597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005669688,"about_ca_topic_score_gemma":9.374421e-7,"domain_scores_codex":[0.9995192,0.00003188539,0.0001468959,0.0001387771,0.00007224692,0.00009104239],"domain_scores_gemma":[0.9992833,0.00009856387,0.00006050871,0.0004373465,0.00008191795,0.00003843694],"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":[8.475545e-7,0.00000560364,0.00002587692,0.00003037258,0.000004041751,3.436785e-8,0.0002611129,0.00002142474,0.0001997462,0.9681884,0.00007819135,0.03118436],"study_design_scores_gemma":[0.0001076031,0.00001830377,0.0002508783,0.00001159604,0.000007611761,0.000008187897,0.001504475,0.006036315,0.003518013,0.9807235,0.007684106,0.000129428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01690352,0.0004244241,0.9756448,0.0002595921,0.0000276764,0.0002445915,0.000001373141,0.0001002458,0.006393806],"genre_scores_gemma":[0.9905809,0.00002182255,0.008652078,0.00002747565,0.00003255183,0.0001985994,0.000001122579,0.000003135977,0.0004822744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736774,"threshold_uncertainty_score":0.2008807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007980749315077551,"score_gpt":0.2188285240948304,"score_spread":0.2108477747797529,"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."}}