{"id":"W4412620250","doi":"10.1007/978-981-96-7423-7_7","title":"Guided Response Generation for Conversational Recommender Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Recommender system; Human–computer interaction; Artificial intelligence; Multimedia; Speech recognition; Information retrieval","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":[0.003722068,0.001075494,0.00185382,0.0008683524,0.001294687,0.001763591,0.002948993,0.002333076,0.01218563],"category_scores_gemma":[0.01277977,0.0007530331,0.0009776414,0.0009752617,0.0006145712,0.002239454,0.00232334,0.002610725,0.00554942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366268,"about_ca_system_score_gemma":0.0009182391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484959,"about_ca_topic_score_gemma":0.005604915,"domain_scores_codex":[0.996716,0.002024283,0.0001284347,0.000439526,0.0004544759,0.000237294],"domain_scores_gemma":[0.9907873,0.007087562,0.0001665645,0.001004256,0.0007317547,0.0002225683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001358651,0.0007434213,0.001132642,0.0005887467,0.0002167223,0.0002383321,0.001079957,0.1397827,0.01195143,0.03430566,0.0379422,0.7706596],"study_design_scores_gemma":[0.00005861132,0.0001110315,0.0001481885,0.00002841932,0.00003822071,0.00008485703,0.00008945268,0.9630743,0.002819278,0.0280921,0.005422345,0.0000331872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01020046,0.0008913537,0.9806908,0.0003849923,0.0001946423,0.0002186686,0.0002452511,0.003360362,0.003813382],"genre_scores_gemma":[0.3651393,0.0006534921,0.6082448,0.00046306,0.0004098337,0.0007114948,0.001285613,0.0006817129,0.02241069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01218563,"threshold_uncertainty_score":0.04076499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05895280063748062,"score_gpt":0.2879065883168825,"score_spread":0.2289537876794019,"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."}}