{"id":"W2915114476","doi":"","title":"RPI BLENDER TAC-KBP2016 System Description.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":14,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629717,0.001841648,0.0009639169,0.002204984,0.0005514435,0.002630156,0.003578886,0.001493146,0.07127291],"category_scores_gemma":[0.005426274,0.0009347621,0.0008849954,0.001537474,0.0003523839,0.003546802,0.001690276,0.002068986,0.07092577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159899,"about_ca_system_score_gemma":0.001830935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008332448,"about_ca_topic_score_gemma":0.006624571,"domain_scores_codex":[0.9984527,0.0002272969,0.0002139019,0.0002793737,0.0006791607,0.0001476084],"domain_scores_gemma":[0.9982157,0.0003135423,0.00009648416,0.0005365484,0.0007300604,0.0001077017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001013478,0.0001924811,0.001228748,0.002520946,0.0001192042,0.0004572582,0.0002825539,0.008375384,0.01276262,0.01164269,0.8410868,0.1203179],"study_design_scores_gemma":[0.0002667141,0.0001430523,0.001575334,0.000286801,0.00009656123,0.0007557283,0.0000798379,0.03958672,0.02175339,0.008429886,0.9269075,0.0001185155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.006349008,0.001119713,0.2092249,0.000951104,0.0004340328,0.001331903,0.2431684,0.4583951,0.07902582],"genre_scores_gemma":[0.04659793,0.0009322235,0.1386028,0.001194876,0.0001431038,0.002675366,0.712963,0.04692456,0.04996604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07127291,"threshold_uncertainty_score":0.2384316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084808463073163,"score_gpt":0.2374701232353894,"score_spread":0.2289892769280731,"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."}}