{"id":"W2806566938","doi":"","title":"CMU-LTI at KBP 2016 Event Nugget Track.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Event (particle physics); Real-time computing; Physics; Operating system","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":[0.004436089,0.00009351515,0.0001603494,0.0001352506,0.0002684187,0.00008115679,0.0006401545,0.00002982199,0.0006011754],"category_scores_gemma":[0.0004722259,0.00005172124,0.00005274629,0.0003634394,0.0004837247,0.0001909484,0.00036938,0.00002728526,0.0004809536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001482263,"about_ca_system_score_gemma":0.00002587925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005106594,"about_ca_topic_score_gemma":0.000005723043,"domain_scores_codex":[0.9984191,0.0001387236,0.0004167024,0.0004456773,0.0004262632,0.0001535124],"domain_scores_gemma":[0.9968341,0.001677366,0.0001966815,0.001068168,0.0001478672,0.00007579709],"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":[0.00003481497,0.00003786593,0.0003357204,0.000004059756,0.000008268948,1.608157e-7,0.0002196391,0.000004698054,0.0009381826,0.673131,0.01756117,0.3077244],"study_design_scores_gemma":[0.0001527132,0.0000169722,0.001807087,0.000008315636,0.000008912525,0.000002230821,0.0005474234,0.00001163089,0.003953453,0.6874519,0.3059587,0.00008068894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3298325,0.001218966,0.6262636,0.003348674,0.0004284426,0.0007005844,0.0002479582,0.0001451865,0.03781404],"genre_scores_gemma":[0.9607701,0.00005131722,0.0002471285,0.00005006366,0.00004930184,0.00004985178,0.000006952501,0.000004740113,0.03877053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6309376,"threshold_uncertainty_score":0.6582449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762072059679766,"score_gpt":0.3401724391097316,"score_spread":0.3025517185129339,"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."}}