{"id":"W3023829253","doi":"10.1007/s00355-009-0434-0","title":"Can groups solve the problem of over-bidding in contests?","year":2009,"lang":"en","type":"article","venue":"Social Choice and Welfare","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bidding; Negotiation; Variance (accounting); Public finance; Group (periodic table); Homogeneous; Microeconomics; Economics; Experimental economics; Social psychology; Psychology; Mathematics; Political science","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":[0.01595905,0.001167714,0.001908583,0.0006892916,0.001546257,0.004062558,0.001814501,0.005725714,0.01370056],"category_scores_gemma":[0.0419116,0.0006942095,0.0009861266,0.0007898697,0.004256638,0.007178445,0.002504684,0.002870746,0.001028905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862593,"about_ca_system_score_gemma":0.001771427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160804,"about_ca_topic_score_gemma":0.00154561,"domain_scores_codex":[0.9932877,0.004817988,0.0001444795,0.0004612923,0.0004019716,0.0008865038],"domain_scores_gemma":[0.9574728,0.03008535,0.00506045,0.004877558,0.0007081373,0.001795666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004735795,0.004051221,0.02856373,0.00101468,0.0007548584,0.0003887188,0.005799671,0.04175341,0.006873861,0.7966453,0.01064695,0.0987718],"study_design_scores_gemma":[0.0005628539,0.0004135199,0.003276364,0.00003498519,0.00008251908,0.000114181,0.001481392,0.02648891,0.0007025322,0.9638779,0.002937118,0.00002773178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844365,0.0004765967,0.06428239,0.009076606,0.0001563695,0.000205833,0.00007118924,0.00009384826,0.04120057],"genre_scores_gemma":[0.9888842,0.0001802836,0.006723391,0.0005031876,0.00005575309,0.00009622307,0.00002786564,0.00002822574,0.003500848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01595905,"threshold_uncertainty_score":0.08440048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547907683659091,"score_gpt":0.3252164372820591,"score_spread":0.2997373604454682,"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."}}