{"id":"W4413243547","doi":"10.1145/3759453","title":"A Survey of Conversational Search","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Semantic search; Context (archaeology); Unison; Search engine; Natural language; Data science; Human–computer interaction; World Wide Web; Information retrieval; Artificial intelligence","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":[0.002109536,0.000976689,0.001119491,0.006117749,0.001462187,0.003785136,0.001890204,0.001636192,0.01253504],"category_scores_gemma":[0.009987826,0.0006061095,0.0008362401,0.008871275,0.0007391242,0.009207413,0.002062429,0.00109336,0.004308348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905327,"about_ca_system_score_gemma":0.003360618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008032735,"about_ca_topic_score_gemma":0.005784577,"domain_scores_codex":[0.997902,0.000663822,0.0002317325,0.0002981026,0.0006846209,0.0002197078],"domain_scores_gemma":[0.9942082,0.003946035,0.0002546532,0.0003310606,0.001050622,0.000209372],"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":[0.0002024338,0.000134881,0.004215187,0.006518687,0.0000886029,0.0002269821,0.00174912,0.002355804,0.00131571,0.04448105,0.03982554,0.898886],"study_design_scores_gemma":[0.00002636981,0.0001705857,0.005071667,0.002612287,0.0001610466,0.002033196,0.002294624,0.01602208,0.001779761,0.02814687,0.9415833,0.00009812134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0206901,0.7653645,0.08779073,0.005923468,0.0009176594,0.0005545135,0.001759994,0.001339813,0.1156591],"genre_scores_gemma":[0.1847533,0.6794531,0.08683293,0.003306277,0.002291464,0.0006994621,0.005853734,0.0006288328,0.03618083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01253504,"threshold_uncertainty_score":0.04193389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433947417254156,"score_gpt":0.2822650442032452,"score_spread":0.2388703024778296,"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."}}