{"id":"W2183649036","doi":"","title":"RPI-BLENDER TAC-KBP2013 Knowledge Base Population System","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge base; Computer science; Graph; Base (topology); Population; Knowledge graph; Artificial intelligence; Data mining; Theoretical computer science; Mathematics","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":[0.0003526185,0.00008287012,0.0001161888,0.00006652126,0.0001340523,0.00006165951,0.0003080053,0.00004121752,0.00001706806],"category_scores_gemma":[0.00001191511,0.00007249512,0.00002281402,0.0001689015,0.00006082561,0.0003920902,0.0001055431,0.00004936717,0.00005441732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001625089,"about_ca_system_score_gemma":0.0000226356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009379265,"about_ca_topic_score_gemma":0.000002769776,"domain_scores_codex":[0.9993224,0.00007415358,0.0002027987,0.0002047437,0.00007458244,0.0001212974],"domain_scores_gemma":[0.9991307,0.000129466,0.00008306409,0.0004939362,0.0001084557,0.00005443453],"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":[0.000001165321,0.00001591862,0.0001775769,0.00005988045,0.000005020969,3.712599e-8,0.000339101,0.0000365933,0.0003173662,0.9693538,0.00004336733,0.02965016],"study_design_scores_gemma":[0.0001801509,0.00001834491,0.002532473,0.00002330702,0.0000160981,0.000009851337,0.001133057,0.01626868,0.003999033,0.97405,0.001572175,0.0001967853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04567286,0.0005373794,0.945927,0.0001317382,0.00005351848,0.0003500161,0.000001744333,0.0001362758,0.007189428],"genre_scores_gemma":[0.9925341,0.000009076085,0.006585884,0.00001891967,0.00006031878,0.000250342,0.000005344644,0.000005307485,0.0005306848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9468613,"threshold_uncertainty_score":0.2956266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117853548039874,"score_gpt":0.2377721567611454,"score_spread":0.225986801957158,"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."}}