{"id":"W2807692999","doi":"","title":"Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Filler (materials); Computer science; Materials science; Composite material; Physics","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":[0.009316894,0.001480911,0.0008523258,0.005753593,0.002342307,0.003992083,0.003009253,0.001999786,0.03059014],"category_scores_gemma":[0.01774392,0.001013309,0.001028206,0.003546241,0.00130353,0.008106376,0.00382587,0.002877245,0.0221826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399551,"about_ca_system_score_gemma":0.006038113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03730272,"about_ca_topic_score_gemma":0.0572155,"domain_scores_codex":[0.9940468,0.001770143,0.0004255168,0.001113418,0.002193859,0.0004502064],"domain_scores_gemma":[0.9882824,0.00219994,0.0003735141,0.005079715,0.003393853,0.0006707321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009951061,0.0003777908,0.006962019,0.0003038163,0.000138535,0.0004248463,0.0007334684,0.008279635,0.008104255,0.0331382,0.6678919,0.2726504],"study_design_scores_gemma":[0.0002241617,0.0002447885,0.004715226,0.0002134607,0.0001117556,0.0005088931,0.0003387773,0.2499069,0.03378443,0.06037308,0.6493777,0.000200797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01977891,0.001335045,0.4531727,0.003979303,0.001540261,0.001053626,0.03169864,0.4304283,0.05701315],"genre_scores_gemma":[0.1522572,0.0006407547,0.6041706,0.00126306,0.0004565518,0.0007713653,0.1568691,0.01987996,0.06369141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03730272,"threshold_uncertainty_score":0.1023343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420556148873268,"score_gpt":0.2642500822046072,"score_spread":0.2548295260557339,"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."}}