{"id":"W2464868641","doi":"10.1145/2911451.2917767","title":"SIGIR 2016 Workshop WebQA II","year":2016,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119063,0.00006418018,0.00006364109,0.00003519009,0.00007561217,0.00003720633,0.000627476,0.00003539011,0.0002678776],"category_scores_gemma":[0.00002938867,0.00003523896,0.00003084896,0.00008637073,0.00001398916,0.0003653643,0.0003857781,0.00003185166,0.0005069099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001994674,"about_ca_system_score_gemma":0.00003697306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001008023,"about_ca_topic_score_gemma":0.000006229914,"domain_scores_codex":[0.9992824,0.00001341833,0.0001093802,0.0002513293,0.000131352,0.0002121628],"domain_scores_gemma":[0.9992539,0.00007426873,0.00002116166,0.0005583894,0.00002666035,0.00006559506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.331348e-7,0.00001583146,0.00009773891,0.000001318924,0.00000430418,0.00000389454,0.0001006041,0.0000124535,0.00217101,0.1877297,0.02878619,0.7810761],"study_design_scores_gemma":[0.001454425,0.0001100896,0.0006490667,0.0002169059,0.000005516168,0.00002930001,0.00004041551,0.09556056,0.01526794,0.06120912,0.8245826,0.000874007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002630583,0.00005778703,0.9462668,0.01493628,0.0003338023,0.00003938485,1.547291e-7,0.0002399862,0.03549527],"genre_scores_gemma":[0.6745381,0.00001907375,0.1211715,0.001361199,0.0001602139,0.000006436494,6.09767e-8,0.000006051461,0.2027374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8250953,"threshold_uncertainty_score":0.651547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454648631855706,"score_gpt":0.2432723093354103,"score_spread":0.2187258230168532,"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."}}