{"id":"W4401025043","doi":"10.24963/ijcai.2024/475","title":"Adaptive Deep Learning from Crowds","year":2024,"lang":"en","type":"article","venue":"","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute for Information and Communications Technology Promotion; Samsung; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Reinforcement learning; Pareto principle; Computer science; Inverse; Artificial intelligence; Mathematical optimization; Machine learning; Mathematics","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":[0.002586317,0.001812692,0.001947494,0.0009992275,0.0009959039,0.001125342,0.003732146,0.002112399,0.002609559],"category_scores_gemma":[0.006107407,0.0008399888,0.0009873379,0.001080528,0.002094884,0.002213897,0.003677986,0.002291554,0.000649936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244573,"about_ca_system_score_gemma":0.002259758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009948905,"about_ca_topic_score_gemma":0.01036302,"domain_scores_codex":[0.9985198,0.0004133109,0.00005365537,0.0005291476,0.0002637034,0.0002203992],"domain_scores_gemma":[0.9975974,0.001334864,0.0002071114,0.0003259091,0.0003467565,0.0001879197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003035112,0.0001590002,0.001853257,0.0001527089,0.00009181601,0.0001180425,0.0001788757,0.8479432,0.001697867,0.0100871,0.005650388,0.1317643],"study_design_scores_gemma":[0.00001289225,0.00001791083,0.00009193529,0.000007721676,0.000005518038,0.000009358469,0.00001383572,0.9858292,0.0004649475,0.01308064,0.0004607342,0.000005370939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05025138,0.0008544543,0.9413303,0.00123208,0.000159301,0.000137113,0.0003515895,0.001966382,0.003717478],"genre_scores_gemma":[0.8459266,0.0003636474,0.1440588,0.001109682,0.0001969811,0.000328051,0.0008412743,0.0001893213,0.006985649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009948905,"threshold_uncertainty_score":0.01978201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2111877717524739,"score_gpt":0.4070293335310882,"score_spread":0.1958415617786143,"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."}}