{"id":"W4411811243","doi":"10.1007/978-981-96-8889-0_17","title":"Automated Issue Hierarchy Generation for Improved Automated Negotiation Outcomes","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Hierarchy; Negotiation; 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":[0.001661657,0.0006989404,0.0007402506,0.001079028,0.0008115736,0.00169674,0.001510448,0.0008099597,0.0201588],"category_scores_gemma":[0.009249127,0.0004680043,0.0005914529,0.000893848,0.000387141,0.0019644,0.002084922,0.00175974,0.004461557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249217,"about_ca_system_score_gemma":0.001075253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005837,"about_ca_topic_score_gemma":0.001753353,"domain_scores_codex":[0.9984286,0.0005305666,0.00009324392,0.0001612542,0.0006329141,0.0001533107],"domain_scores_gemma":[0.9972177,0.001381523,0.0001433474,0.0005769116,0.000566897,0.0001136224],"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":[0.000693066,0.0005472869,0.0006895975,0.000243868,0.00004548056,0.0002878237,0.0004327802,0.0568051,0.0270848,0.05507913,0.02952311,0.8285681],"study_design_scores_gemma":[0.000155959,0.00008304646,0.000279043,0.00003058499,0.00003067952,0.0001140369,0.00009311652,0.9230224,0.02183218,0.0421695,0.01215977,0.00002957864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01980291,0.0001686694,0.9602064,0.0002695462,0.0002195204,0.0002992473,0.0002414541,0.007821839,0.0109705],"genre_scores_gemma":[0.3496011,0.0001025235,0.6388189,0.0001312132,0.00009941084,0.0002648703,0.0008396299,0.0009913648,0.009151037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0201588,"threshold_uncertainty_score":0.06743789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063112051714733,"score_gpt":0.2823610694087924,"score_spread":0.261729948891645,"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."}}