{"id":"W2807137429","doi":"","title":"SoochowNLP Team System Description for 2016 KBP Slot Filling and Nugget Detection Tasks.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Real-time computing; Artificial intelligence","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":[0.001827043,0.001596579,0.0008847003,0.002167745,0.0008803642,0.002192538,0.003031005,0.001426114,0.05318293],"category_scores_gemma":[0.00637184,0.0009758994,0.0009048782,0.001521175,0.0003088044,0.002690923,0.001543939,0.001637534,0.05418973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162219,"about_ca_system_score_gemma":0.00283501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364107,"about_ca_topic_score_gemma":0.01376564,"domain_scores_codex":[0.9983153,0.0003039173,0.0002377375,0.0004375172,0.0005311539,0.0001743329],"domain_scores_gemma":[0.9968437,0.0007871984,0.0001196217,0.0006832254,0.001303443,0.0002626974],"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":[0.0009333281,0.0001524243,0.001712695,0.001307504,0.0001001705,0.00031675,0.0002764908,0.003391842,0.008945782,0.002225372,0.9212402,0.05939742],"study_design_scores_gemma":[0.0008139822,0.0002949833,0.005517339,0.0003313183,0.0001369463,0.000907256,0.0003269894,0.0788926,0.04353498,0.005702079,0.8633227,0.0002188271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01331289,0.0006077096,0.1352135,0.0009271473,0.0005136399,0.001416527,0.2323276,0.5755953,0.04008582],"genre_scores_gemma":[0.06738742,0.000378722,0.1404238,0.001072199,0.0001404549,0.002797961,0.7130699,0.04793409,0.02679554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05318293,"threshold_uncertainty_score":0.1779146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007929024833840781,"score_gpt":0.2366489123429594,"score_spread":0.2287198875091186,"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."}}