{"id":"W2564532471","doi":"10.1609/aaai.v30i1.10038","title":"Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments","year":2016,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Australian Government; Microsoft Research","keywords":"Crowdsourcing; Computer science; Axiom; Mechanism (biology); Selection (genetic algorithm); Partition (number theory); Mechanism design; Liberian dollar; Mathematical economics; Artificial intelligence; Mathematics; Economics; World Wide Web","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":[0.03811892,0.002225104,0.002860466,0.002916843,0.002332481,0.003722918,0.005041921,0.003807722,0.004990356],"category_scores_gemma":[0.13948,0.001024547,0.001516915,0.003563982,0.004275865,0.008211223,0.003357727,0.004763846,0.0007699009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005880054,"about_ca_system_score_gemma":0.004518885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003410206,"about_ca_topic_score_gemma":0.001675746,"domain_scores_codex":[0.9626714,0.02671371,0.001295331,0.002266615,0.004789972,0.002263075],"domain_scores_gemma":[0.6722054,0.2748086,0.02068187,0.02175048,0.007014066,0.00353962],"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":[0.008199563,0.01243606,0.01806654,0.002964927,0.001658735,0.0005961852,0.001819555,0.5819502,0.01124138,0.216279,0.01491468,0.1298731],"study_design_scores_gemma":[0.001780294,0.002452123,0.003251448,0.0001587919,0.000367407,0.0003592461,0.0008240846,0.8710464,0.006149374,0.1099296,0.003528932,0.0001522045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739313,0.004915536,0.2876607,0.003769219,0.000427332,0.00400694,0.001303277,0.001261099,0.02272466],"genre_scores_gemma":[0.9390314,0.0008214022,0.05653268,0.0003451047,0.0001183961,0.001250199,0.0002579969,0.0001089031,0.001533865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03811892,"threshold_uncertainty_score":0.2015946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.371830055748852,"score_gpt":0.4581984198974757,"score_spread":0.0863683641486237,"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."}}