{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01126886,0.0009718899,0.001613664,0.003561412,0.002537575,0.003808058,0.004028194,0.002012837,0.01906186],"category_scores_gemma":[0.02661358,0.0008483155,0.0009515537,0.002901394,0.0006336023,0.005473384,0.007920369,0.002825763,0.006696342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938403,"about_ca_system_score_gemma":0.002715057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008176193,"about_ca_topic_score_gemma":0.0108691,"domain_scores_codex":[0.9902481,0.00380959,0.0004412455,0.001218245,0.00356712,0.0007156076],"domain_scores_gemma":[0.9890444,0.004268806,0.0001782845,0.00283908,0.002644661,0.001024732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001480184,0.001622691,0.005458742,0.000534729,0.0001850193,0.001049442,0.003059002,0.01346503,0.01433036,0.01244937,0.1600001,0.7863653],"study_design_scores_gemma":[0.0006892558,0.0009059687,0.007912595,0.0002159904,0.0002042923,0.001290456,0.001855686,0.2978851,0.03497459,0.01457009,0.6392788,0.0002173175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2111958,0.002861195,0.5649914,0.01207093,0.001462199,0.004461032,0.01441068,0.04983661,0.1387101],"genre_scores_gemma":[0.4322647,0.0008269298,0.432366,0.001725912,0.0005053985,0.003839961,0.04922217,0.004439115,0.07480987],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01906186,"threshold_uncertainty_score":0.06376827,"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."}}