{"id":"W4401023823","doi":"10.24963/ijcai.2024/587","title":"Towards Debiased Generalized Category Discovery","year":2024,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Government of Jiangsu Province; Hong Kong Baptist University","keywords":"Computer science; Set (abstract data type); Artificial intelligence; 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":[0.005793344,0.001416704,0.002545886,0.00225448,0.001221497,0.001826552,0.003712194,0.002398201,0.001435711],"category_scores_gemma":[0.01458093,0.0006296953,0.001102792,0.001941673,0.002238899,0.003788273,0.004683207,0.003126178,0.0007431917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434329,"about_ca_system_score_gemma":0.002574811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193953,"about_ca_topic_score_gemma":0.004335629,"domain_scores_codex":[0.9964072,0.001016343,0.0001666295,0.001182207,0.0009208042,0.0003068345],"domain_scores_gemma":[0.9900873,0.00407258,0.0009348834,0.002441572,0.001997161,0.0004664409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000654033,0.0002410905,0.009456068,0.0002361615,0.0001878505,0.0002126661,0.0005061078,0.1275485,0.009291694,0.01912246,0.008208722,0.8243347],"study_design_scores_gemma":[0.00004633821,0.0001619577,0.0009012918,0.00003443117,0.00003907669,0.0002163296,0.0001252458,0.9478309,0.005788445,0.04165747,0.003162824,0.00003558924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06596802,0.001040743,0.9288985,0.0006083312,0.00007135952,0.00008560171,0.0001350928,0.0017364,0.001455975],"genre_scores_gemma":[0.6238965,0.0003629355,0.3695408,0.001087486,0.000149778,0.0001502595,0.0009177043,0.0002591232,0.003635374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005793344,"threshold_uncertainty_score":0.03063852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250795283475315,"score_gpt":0.2682820168396056,"score_spread":0.2457740640048524,"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."}}