{"id":"W2806844872","doi":"","title":"Combining MIML and Distant Supervision for KBP Slot Filling.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0004742673,0.00006863994,0.0001083574,0.00003237045,0.0001558285,0.00005975636,0.0002300687,0.00002759259,0.000001155039],"category_scores_gemma":[0.00002999582,0.00005433099,0.00001330518,0.00009425676,0.0001243667,0.000257479,0.0001828908,0.00003333639,9.010705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003480776,"about_ca_system_score_gemma":0.00002280489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009286805,"about_ca_topic_score_gemma":6.229102e-7,"domain_scores_codex":[0.9994969,0.00002855436,0.0001313318,0.0001811292,0.00007540761,0.00008662194],"domain_scores_gemma":[0.9992536,0.0002384817,0.00005417213,0.0002931532,0.00009096912,0.00006963054],"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":[0.00002236761,0.00002085629,0.00002591159,0.00001866227,0.000003386325,6.662723e-8,0.0006861052,0.000004763642,0.0003780117,0.9368054,0.0001206599,0.06191387],"study_design_scores_gemma":[0.0003757883,0.0001024641,0.00009668676,0.00001439815,0.000009542567,0.000004818271,0.0007353,0.008910353,0.004806688,0.9519166,0.03291772,0.0001096424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01361817,0.001436241,0.9840645,0.0001613034,0.00003903365,0.0002048704,0.00002186758,0.00003976603,0.0004142884],"genre_scores_gemma":[0.9724016,0.00009247495,0.02719694,0.00003857303,0.00003760287,0.00009357768,0.00003133985,0.000005087797,0.0001027904],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9587834,"threshold_uncertainty_score":0.2215554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045093807242754,"score_gpt":0.2664074188859343,"score_spread":0.2459564808135067,"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."}}