{"id":"W4385571112","doi":"10.18653/v1/2023.findings-acl.256","title":"Search-Oriented Conversational Query Editing","year":2023,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Ministry of Education, India; Renmin University of China; National Natural Science Foundation of China","keywords":"Computer science; Security token; Contextualization; Rewriting; Ranking (information retrieval); Search engine; Information retrieval; Artificial intelligence; Natural language processing; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993996,0.001056397,0.001077672,0.0006451486,0.0004823959,0.001177565,0.002444289,0.000948058,0.004411571],"category_scores_gemma":[0.007703574,0.0003470036,0.0009746017,0.0006030041,0.0007695459,0.002332718,0.001818659,0.001332526,0.001819072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006163354,"about_ca_system_score_gemma":0.001186309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005359393,"about_ca_topic_score_gemma":0.005246026,"domain_scores_codex":[0.997822,0.000879017,0.0001414142,0.0005779713,0.0004475409,0.0001320616],"domain_scores_gemma":[0.9972262,0.001413442,0.0001597146,0.0005024159,0.0005785066,0.0001197204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001505202,0.0005291813,0.003166591,0.00142904,0.0002588323,0.000932885,0.003133294,0.189308,0.1564745,0.05091963,0.02803886,0.5643041],"study_design_scores_gemma":[0.00006005423,0.0001897259,0.0004753805,0.00001950089,0.00008577918,0.0002563566,0.0001797764,0.9479845,0.02480038,0.01139694,0.0144915,0.00006001135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04378162,0.001183675,0.9360715,0.0005689277,0.0001364334,0.000472489,0.0007472205,0.008557384,0.008480893],"genre_scores_gemma":[0.7318789,0.000538301,0.2516126,0.0005475356,0.000162511,0.0004051101,0.00152038,0.0007132179,0.01262151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005359393,"threshold_uncertainty_score":0.01475817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987187608872422,"score_gpt":0.2733932280795032,"score_spread":0.2335213519907789,"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."}}