{"id":"W2806882590","doi":"","title":"Unsupervised Multi-Lingual Cold Start Slot Filler Ensembling with the Knowledge Resolver System for TAC-KBP 2016.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Filler (materials); Resolver; Computer science; Artificial intelligence; Materials science; Composite material; Telecommunications","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":[0.0007476008,0.0001181393,0.0001497556,0.0000637495,0.0003529487,0.00005671362,0.0004828169,0.00004563865,0.000001876592],"category_scores_gemma":[0.00002627025,0.00006296228,0.00003260528,0.0002090224,0.000217406,0.0001394367,0.000103113,0.00004383253,0.000003874917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000014183,"about_ca_system_score_gemma":0.00007491141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004059907,"about_ca_topic_score_gemma":0.000002268443,"domain_scores_codex":[0.999231,0.00009824695,0.000191004,0.0002458522,0.00008149266,0.0001523893],"domain_scores_gemma":[0.9983351,0.000741929,0.0001191879,0.0004832465,0.0002790102,0.00004149727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005213115,0.0000408171,0.00001391483,0.00005085113,0.00002315094,1.037285e-7,0.001249444,0.0001107542,0.001896534,0.9839138,0.0004930574,0.0121554],"study_design_scores_gemma":[0.006778343,0.001152,0.0003607976,0.0007805834,0.000221839,0.00004359032,0.006136938,0.04824833,0.6178309,0.09668056,0.2199409,0.001825162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004577997,0.0005393699,0.9929286,0.000322019,0.00002503673,0.0005404209,0.00001097132,0.0002441032,0.0008114664],"genre_scores_gemma":[0.95511,0.00004426467,0.04265505,0.00003910063,0.00005871078,0.0003671473,0.000002842125,0.00001180413,0.001711042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.950532,"threshold_uncertainty_score":0.2714632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850573277556746,"score_gpt":0.2623846920669397,"score_spread":0.2438789592913722,"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."}}