{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002578685,0.00003752316,0.00003918361,0.00007620526,0.00006567784,0.0000424511,0.0002406456,0.00001855279,0.00007199479],"category_scores_gemma":[0.00003855123,0.00003535782,0.00001979022,0.0003212978,0.00001232344,0.0002435484,0.000200688,0.00005728877,0.000511664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001857597,"about_ca_system_score_gemma":0.00004507238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004032075,"about_ca_topic_score_gemma":0.000002503071,"domain_scores_codex":[0.9993129,0.00001878984,0.00008844385,0.0001782758,0.0002357318,0.0001658773],"domain_scores_gemma":[0.9996333,0.00007003835,0.00001201261,0.0001913533,0.00004912918,0.00004414933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.968826e-7,0.000008259315,0.005510049,0.000008231487,0.000008186829,0.0000200258,0.001082169,0.003077111,0.0004914656,0.9595156,0.009729282,0.02054903],"study_design_scores_gemma":[0.00009535113,0.000004911102,0.002179635,0.000004132526,3.411524e-7,0.000002285353,0.0001296627,0.9912871,0.0009085004,0.00176659,0.003571023,0.00005043193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04459856,0.000002604829,0.9412469,0.003730774,0.0005980763,0.00004052445,5.078159e-7,0.0005545578,0.009227496],"genre_scores_gemma":[0.9440303,0.000001490736,0.05239463,0.000521485,0.0002831754,0.000004486297,0.000005602334,0.000003886614,0.002754961],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.98821,"threshold_uncertainty_score":0.6576577,"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."}}