{"id":"W2395959986","doi":"","title":"BUPTTeam Participation at TAC 2012 Knowledge Base Population","year":2012,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Node (physics); Computer science; Task (project management); Selection (genetic algorithm); Cluster analysis; Base (topology); Knowledge base; Population; Cluster (spacecraft); Data mining; Information retrieval; Artificial intelligence; Mathematics; Computer network; Engineering","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":[0.004902441,0.00008120791,0.0001455588,0.0001114522,0.0002342272,0.00004369738,0.0002214115,0.00003863145,0.0004240834],"category_scores_gemma":[0.0003860369,0.00006391361,0.00003296199,0.0003365962,0.0001752438,0.000767512,0.0001848048,0.00003683185,0.0002943488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751194,"about_ca_system_score_gemma":0.000008511249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001724517,"about_ca_topic_score_gemma":0.00003391442,"domain_scores_codex":[0.9987106,0.0003012905,0.0003898635,0.0001764396,0.0002500772,0.0001716677],"domain_scores_gemma":[0.9981933,0.0009027174,0.0001956386,0.0005047985,0.0001059378,0.00009765309],"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":[0.00003228075,0.0001156245,0.004055253,0.00001358094,0.00000728852,1.232865e-8,0.0008876083,0.00000619117,0.0001539487,0.9343433,0.002420801,0.05796409],"study_design_scores_gemma":[0.0001387127,0.00001855533,0.04715274,0.000003316712,0.00004400295,8.414227e-7,0.001729082,0.00002858638,0.002841592,0.7192165,0.2287074,0.0001187658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6798313,0.003398535,0.2655385,0.0006591778,0.0002846569,0.0009730457,0.0001478607,0.0001041889,0.04906281],"genre_scores_gemma":[0.9938439,0.00003195427,0.0002073176,0.00006182944,0.000108492,0.0001487029,0.00009437656,0.000004905659,0.005498483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140127,"threshold_uncertainty_score":0.4643416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08896754430988418,"score_gpt":0.4073813255499505,"score_spread":0.3184137812400663,"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."}}