{"id":"W2737275827","doi":"","title":"SUMMA at TAC Knowledge Base Population Task 2017.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Task (project management); Base (topology); Knowledge base; Computer science; Population; Artificial intelligence; Mathematics; Medicine; Engineering; Environmental health; Systems 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":[0.00395212,0.00008671941,0.0001752307,0.00009147429,0.0009002957,0.0002155855,0.0007773498,0.0000402886,0.0001658401],"category_scores_gemma":[0.0007921341,0.00006743574,0.00004206408,0.0001039326,0.0004611592,0.0004938453,0.0004951154,0.00004178716,0.0002110178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001187073,"about_ca_system_score_gemma":0.00001621018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007599418,"about_ca_topic_score_gemma":0.00016184,"domain_scores_codex":[0.9988512,0.0001653746,0.0003380525,0.0002803426,0.0002455012,0.000119494],"domain_scores_gemma":[0.9974042,0.0006694505,0.0003484331,0.001394611,0.0001178581,0.00006549185],"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":[0.00003880344,0.00004189252,0.001358796,0.00001372806,0.000008301852,1.536503e-7,0.0002755116,0.000002076761,0.0001380762,0.9378009,0.005088453,0.05523329],"study_design_scores_gemma":[0.0001164815,0.00001169942,0.01913597,0.000003759546,0.00001816375,8.656547e-7,0.0006836267,0.00001793254,0.0008038566,0.7766241,0.2025056,0.00007792009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4418089,0.002718012,0.2001158,0.003963341,0.0005643281,0.001925689,0.0008634776,0.0001661236,0.3478743],"genre_scores_gemma":[0.9864659,0.00006956023,0.000158176,0.0000441763,0.00006519366,0.00007373666,0.00006833312,0.000004443875,0.01305053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5446569,"threshold_uncertainty_score":0.6924437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09041987003507082,"score_gpt":0.4039581842127519,"score_spread":0.3135383141776811,"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."}}