{"id":"W2398318312","doi":"","title":"GDUFS at Slot Filling TAC-KBP 2012.","year":2012,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Task (project management); Computer science; Selection (genetic algorithm); Matching (statistics); Baseline (sea); Information retrieval; Artificial intelligence; Mathematics; Engineering; Geology; Programming language; Statistics","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":[0.008230806,0.001658739,0.001624553,0.004490876,0.002672703,0.004464784,0.003188693,0.002757195,0.03525437],"category_scores_gemma":[0.03032737,0.001238561,0.00130538,0.004240967,0.001212827,0.01069096,0.004673087,0.004455586,0.03187264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003435235,"about_ca_system_score_gemma":0.004337552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016409,"about_ca_topic_score_gemma":0.01892714,"domain_scores_codex":[0.993573,0.002219357,0.0004476891,0.001193861,0.002097463,0.0004686183],"domain_scores_gemma":[0.9857913,0.005035719,0.0003576933,0.003437233,0.004483949,0.0008940417],"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":[0.0005903092,0.0002709168,0.0008246369,0.0008369367,0.00007328487,0.0005838788,0.001335229,0.002365697,0.009754924,0.02021476,0.6620321,0.3011172],"study_design_scores_gemma":[0.0002640642,0.0002013978,0.001240895,0.0001769582,0.00005727059,0.0007706489,0.001243631,0.04443604,0.01981751,0.02387512,0.9077824,0.0001340081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02949243,0.003957404,0.568578,0.02109644,0.00461928,0.002303939,0.09198055,0.2094192,0.06855285],"genre_scores_gemma":[0.08650441,0.0010615,0.6948319,0.002407219,0.0006249662,0.001215006,0.1486396,0.01661056,0.04810476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03525437,"threshold_uncertainty_score":0.1179376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009141144134649531,"score_gpt":0.2611596159645587,"score_spread":0.2520184718299091,"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."}}