{"id":"W2399977860","doi":"","title":"TAC 2008 Question Answering Experiments at Tokyo Institute of Technology.","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Question answering; Information retrieval","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":[0.0001444488,0.00006012873,0.0001029152,0.00008879698,0.0001404247,0.000004547017,0.0002753502,0.00004311718,0.000003101261],"category_scores_gemma":[0.00001343947,0.00005810653,0.00001506844,0.0002101105,0.0003190823,0.0002183191,0.0001565838,0.00003802158,0.00000238996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074262,"about_ca_system_score_gemma":0.00002391634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001081697,"about_ca_topic_score_gemma":0.000001022885,"domain_scores_codex":[0.9995235,0.00001523511,0.0001633996,0.0001503332,0.00007150905,0.00007606514],"domain_scores_gemma":[0.9994417,0.00002229658,0.00008275892,0.0003752609,0.00005710742,0.00002080887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000543251,0.00002149895,0.0004321158,0.00001213371,0.000005507764,3.732624e-7,0.0006322216,0.00008191312,0.01801644,0.970525,0.000007450641,0.0102599],"study_design_scores_gemma":[0.0002242645,0.00004192222,0.0005993575,0.00002049149,0.000007823357,0.00005379767,0.0002631559,0.0006345312,0.6058136,0.3856654,0.00652302,0.0001526724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.420747,0.0007423288,0.5775848,0.00008334428,0.00002643197,0.00009653412,0.000001079086,0.00005293106,0.0006656066],"genre_scores_gemma":[0.9835351,0.0001089805,0.01606561,0.000008686313,0.00001465688,0.00006552411,0.000001808802,0.000002716061,0.0001969331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5877971,"threshold_uncertainty_score":0.2369515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433929541817701,"score_gpt":0.2598021874426596,"score_spread":0.2454628920244826,"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."}}