{"id":"W4293272546","doi":"10.48550/arxiv.2008.11570","title":"Optimality of Independently Randomized Symmetric Policies for Exchangeable Stochastic Teams with Infinitely Many Decision Makers","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convexity; Representation theorem; Mathematical economics; Representation (politics); Mathematics; Stochastic control; Mathematical optimization; Function (biology); Argument (complex analysis); Type (biology); Optimal control; Computer science; Economics; Discrete mathematics; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002819129,0.0003706887,0.001210107,0.001009235,0.0002717827,0.0001420436,0.001593861,0.0003125507,0.0002035732],"category_scores_gemma":[0.002836,0.0003056225,0.0005678259,0.002510441,0.000601319,0.0002578709,0.000903863,0.000446953,0.00009203271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278831,"about_ca_system_score_gemma":0.0002863331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512168,"about_ca_topic_score_gemma":0.00002827116,"domain_scores_codex":[0.9967633,0.0003970705,0.0007852146,0.001233566,0.0004948088,0.0003259722],"domain_scores_gemma":[0.9906542,0.005811527,0.001303507,0.00118505,0.0007993163,0.0002464153],"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":[0.03314038,0.000182475,0.000328329,0.00006701821,0.0002931948,0.00001167327,0.0005290057,0.5587823,0.00002512214,0.4045762,0.0005935433,0.001470777],"study_design_scores_gemma":[0.03233062,0.0001795366,0.0004566026,0.000122867,0.0005240816,0.000006399891,0.002545715,0.1561576,0.0002032278,0.8062537,0.0006520211,0.0005676256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2337986,0.00004968466,0.7621821,0.0001684163,0.0001787936,0.001441268,0.0002000306,0.000068377,0.001912698],"genre_scores_gemma":[0.9948097,0.00004247616,0.002856971,0.00009170444,0.00007301821,0.00002472537,0.00002764077,0.00002687672,0.002046893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7610111,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1868922323741497,"score_gpt":0.2877084468289768,"score_spread":0.1008162144548271,"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."}}