{"id":"W2805224294","doi":"","title":"SRCB Entity Discovery and Linking (EDL) and Event Nugget Systems for TAC 2017.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Event (particle physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355467,0.00007774254,0.0001268096,0.00003531964,0.0005007177,0.0004787225,0.0003836675,0.00004367366,1.830514e-7],"category_scores_gemma":[0.00005114173,0.00006350154,0.00001500935,0.00002987413,0.0002789193,0.0007366518,0.0002612953,0.00005252997,1.529399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004682086,"about_ca_system_score_gemma":0.00001791081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002903994,"about_ca_topic_score_gemma":0.000003025729,"domain_scores_codex":[0.9995047,0.00002475131,0.0001220172,0.0001990389,0.00006097614,0.00008846342],"domain_scores_gemma":[0.9991535,0.0001512689,0.0001730665,0.0004344266,0.00005795295,0.00002979215],"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":[0.000008318406,0.000009810824,0.0002151173,0.0001618853,0.00000705938,1.403029e-7,0.0002843972,3.205137e-7,0.000854552,0.983286,0.00002645158,0.01514596],"study_design_scores_gemma":[0.0001098229,0.0000276379,0.0003777674,0.00004936655,0.00001596639,0.00001097646,0.0001086724,0.0002792278,0.009316083,0.9877668,0.001832344,0.0001053037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02139433,0.01398944,0.9636799,0.0002176774,0.0000415488,0.0003814392,0.000017899,0.00006995743,0.0002078355],"genre_scores_gemma":[0.9854193,0.0003606546,0.01375307,0.00001519601,0.00005041794,0.000152343,0.000004460976,0.000004183616,0.0002404062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964025,"threshold_uncertainty_score":0.4616332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063735557338783,"score_gpt":0.2876668333796569,"score_spread":0.2770294778062691,"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."}}