{"id":"W2805736953","doi":"","title":"REDES at TAC Knowledge Base Population 2016 : EDL and BeSt tracks.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Base (topology); Computer science; Knowledge base; Population; Artificial intelligence; Mathematics; Demography; Mathematical analysis","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":[0.0003412087,0.00007065872,0.00009285229,0.00004669318,0.0001463607,0.00002305133,0.0001734389,0.00003505079,0.00001213913],"category_scores_gemma":[0.00002651277,0.00004913914,0.00001449185,0.00008333441,0.0001364956,0.0002631415,0.0001276935,0.00002281843,0.00001226448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246133,"about_ca_system_score_gemma":0.00001767045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001328768,"about_ca_topic_score_gemma":0.000009303671,"domain_scores_codex":[0.999451,0.000049042,0.000147744,0.0002040676,0.0000516544,0.00009642287],"domain_scores_gemma":[0.999263,0.0002356015,0.00006356237,0.0003397876,0.00004947295,0.00004856534],"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":[0.000006143327,0.00001938334,0.0003792722,0.00001424504,0.000003110581,5.298262e-8,0.0002560359,0.000001092366,0.002394548,0.8503416,0.00003259023,0.1465519],"study_design_scores_gemma":[0.0002233702,0.0000328446,0.001433762,0.00002947549,0.00001353206,0.000008078257,0.0001027741,0.000266092,0.01229885,0.9787408,0.006715915,0.0001344905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1650099,0.001749194,0.8281406,0.0005179617,0.0000376913,0.0001963346,0.000008155847,0.00006186182,0.004278383],"genre_scores_gemma":[0.9950184,0.0001704415,0.00244493,0.00001261118,0.00005203427,0.0000535529,0.000002209183,0.000004087362,0.00224172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8300086,"threshold_uncertainty_score":0.2003836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360623403106527,"score_gpt":0.2543820827541767,"score_spread":0.2407758487231114,"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."}}