{"id":"W2805275877","doi":"","title":"DoughnutPRIS at TAC KBP 2016.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005232285,0.001488387,0.001761777,0.00376315,0.003562777,0.009089326,0.002784458,0.002218836,0.4301063],"category_scores_gemma":[0.01692842,0.0007496204,0.001028626,0.003515919,0.0008857146,0.009632265,0.004377265,0.002797583,0.3059758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003433547,"about_ca_system_score_gemma":0.002670243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992233,"about_ca_topic_score_gemma":0.03745162,"domain_scores_codex":[0.9963988,0.0009361169,0.0001969884,0.0008753782,0.001313432,0.0002793158],"domain_scores_gemma":[0.9913488,0.001939529,0.000269253,0.001528119,0.003514995,0.001399424],"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":[0.0001432802,0.0000516003,0.0001487343,0.0001090026,0.0000106848,0.0001184803,0.0001504545,0.0002192246,0.0004725869,0.007994367,0.9434871,0.04709442],"study_design_scores_gemma":[0.00003642373,0.0000134746,0.0003178967,0.00009414509,0.00001099402,0.00005852423,0.0001982546,0.001814332,0.0006311642,0.01456865,0.9822273,0.00002894014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00653349,0.01022823,0.1321172,0.1044348,0.04691754,0.000666184,0.09540281,0.05876566,0.5449342],"genre_scores_gemma":[0.02511542,0.00231876,0.03735187,0.003564014,0.004507925,0.0002689412,0.04866813,0.009548749,0.8686562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4301063,"threshold_uncertainty_score":0.8128842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630229271104514,"score_gpt":0.2345219120105362,"score_spread":0.2248916827394316,"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."}}