{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009700942,0.002622185,0.002927248,0.003884569,0.003209943,0.01002832,0.004391134,0.004653515,0.5737057],"category_scores_gemma":[0.02952885,0.001012825,0.001135662,0.006115068,0.0007549368,0.008564463,0.006041022,0.004512885,0.4832876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004154722,"about_ca_system_score_gemma":0.004119367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01598492,"about_ca_topic_score_gemma":0.01894651,"domain_scores_codex":[0.9948711,0.001153721,0.0001912202,0.001032906,0.002132053,0.0006189994],"domain_scores_gemma":[0.9856837,0.002629792,0.0004910004,0.002965117,0.004451545,0.003778729],"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":[0.0001638587,0.00002330296,0.00008669145,0.00005595529,0.000004088975,0.00002075325,0.00002662449,0.00009782526,0.0001801172,0.002556201,0.9869828,0.009801811],"study_design_scores_gemma":[0.0001537423,0.00005917149,0.0007735519,0.0001234595,0.000007906019,0.00005543343,0.00009077154,0.002245513,0.001297432,0.01060075,0.9845458,0.00004648412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003312849,0.00368387,0.04046589,0.04315023,0.02678782,0.0008985254,0.3729292,0.09300943,0.4157622],"genre_scores_gemma":[0.02442099,0.00166071,0.03880247,0.004214988,0.007836527,0.0008512357,0.3823787,0.03445577,0.5053786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5737057,"threshold_uncertainty_score":0.608057,"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."}}