{"id":"W2805756377","doi":"","title":"Bootstrapped Self Training for Knowledge Base Population.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer science; Base (topology); Knowledge base; Population; Artificial intelligence; Mathematics; Geography; Demography; Sociology","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":[0.0008258509,0.0000728657,0.0001132292,0.00005691963,0.0001314883,0.00003887597,0.0002334291,0.00002934445,0.000001865148],"category_scores_gemma":[0.00006998791,0.00006513588,0.00002640705,0.0001747105,0.00005453171,0.0001507968,0.00004637456,0.00004950535,0.000002945399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006461481,"about_ca_system_score_gemma":0.00005766833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007998747,"about_ca_topic_score_gemma":0.000001180717,"domain_scores_codex":[0.9994587,0.0000623528,0.0001421571,0.0001634774,0.00005888522,0.0001144725],"domain_scores_gemma":[0.9992338,0.0002825867,0.00007056148,0.0002407333,0.00009347879,0.00007877977],"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":[0.000007283037,0.00002904834,0.00007153054,0.00001984825,0.000007171971,3.843314e-8,0.002934348,0.00004308165,0.00002476931,0.9322085,0.00005447873,0.06459989],"study_design_scores_gemma":[0.0003580718,0.00006812774,0.0002998534,0.000005545315,0.00001512047,0.000005736355,0.001072859,0.01067778,0.000559849,0.9669695,0.01984041,0.0001271168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007971077,0.0004617695,0.9870564,0.000178292,0.0000452498,0.0002301866,0.000005494048,0.0001528896,0.003898579],"genre_scores_gemma":[0.966137,0.000005218849,0.03309039,0.00002353843,0.00010067,0.00014518,0.00001457794,0.000005711652,0.0004777117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9581659,"threshold_uncertainty_score":0.2656164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952696293558689,"score_gpt":0.2960126789356213,"score_spread":0.2664857160000345,"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."}}