{"id":"W2949186720","doi":"10.65109/bjlr8765","title":"Sharing a reward based on peer evaluations","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Collusion; Mechanism (biology); Incentive; Computer science; Incentive compatibility; Microeconomics; Group (periodic table); Value (mathematics); Economics; Machine learning","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":[0.009637829,0.001798673,0.003052935,0.001050769,0.001353528,0.003256576,0.003733289,0.003033239,0.004232254],"category_scores_gemma":[0.03036999,0.0007467157,0.001049281,0.001354973,0.002415393,0.006197852,0.002723876,0.002063229,0.0005611125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359994,"about_ca_system_score_gemma":0.001398434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608444,"about_ca_topic_score_gemma":0.000824391,"domain_scores_codex":[0.9915577,0.004868245,0.0003290081,0.001267264,0.001082423,0.0008954436],"domain_scores_gemma":[0.9784188,0.01429281,0.002805347,0.001926836,0.001135892,0.001420277],"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":[0.001540593,0.0005539523,0.005666942,0.0004396529,0.0005352074,0.001238129,0.0009759878,0.573934,0.004710434,0.3319649,0.003131688,0.07530852],"study_design_scores_gemma":[0.0002160957,0.0004784869,0.001065707,0.00004145434,0.00009787806,0.0002304984,0.0001684394,0.7514091,0.001462182,0.2428501,0.001909604,0.00007049482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2500985,0.001060119,0.730111,0.002131529,0.0001185182,0.0004891652,0.0002096851,0.0002398958,0.01554159],"genre_scores_gemma":[0.9605353,0.0002687421,0.03471624,0.00007134361,0.00008800305,0.0001576357,0.00006130341,0.00003723243,0.004064205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009637829,"threshold_uncertainty_score":0.05097032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2775347693628012,"score_gpt":0.5034260770086951,"score_spread":0.2258913076458939,"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."}}