{"id":"W4385767422","doi":"10.24963/ijcai.2023/3","title":"Proportionally Fair Online Allocation of Public Goods with Predictions","year":2023,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada; Simons Institute for the Theory of Computing, University of California Berkeley; National Science Foundation","keywords":"Parameterized complexity; Computer science; Public good; Value (mathematics); Sequence (biology); Set (abstract data type); Function (biology); Investment (military); Mathematical optimization; Algorithm; Mathematics; Statistics; Microeconomics; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007961261,0.001722044,0.002319619,0.0008352957,0.001343395,0.002385288,0.004646391,0.001985359,0.002946604],"category_scores_gemma":[0.02196997,0.0008168292,0.0006796392,0.001253049,0.002292094,0.004539733,0.002218945,0.002362917,0.0006509238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111872,"about_ca_system_score_gemma":0.004179782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004964379,"about_ca_topic_score_gemma":0.004263232,"domain_scores_codex":[0.9954818,0.00177548,0.0001891003,0.0009190818,0.0007536225,0.0008808883],"domain_scores_gemma":[0.9857723,0.008815021,0.001553037,0.00230215,0.0009862889,0.0005711049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007798239,0.0003870771,0.001405399,0.00008435336,0.0000698986,0.00007303943,0.0001401739,0.9011894,0.002339842,0.0352146,0.002234176,0.05608214],"study_design_scores_gemma":[0.00003451214,0.00003183342,0.00005648006,0.00000349011,0.000005635414,0.00001111115,0.000008284976,0.9827078,0.0007674051,0.01616783,0.0001996445,0.000005888317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04239806,0.0001465793,0.9534235,0.0004343942,0.0000739917,0.0001883791,0.00008247329,0.000832288,0.002420331],"genre_scores_gemma":[0.8178952,0.0001076338,0.1786647,0.000258154,0.0001028884,0.0002490242,0.0001216683,0.00008525477,0.002515491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007961261,"threshold_uncertainty_score":0.04210365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173649949556399,"score_gpt":0.4028550008904291,"score_spread":0.2292050513340301,"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."}}