{"id":"W3160282874","doi":"10.2139/ssrn.3809655","title":"Information Aggregation in Large Collective Purchases","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005235116,0.00007462802,0.0001306806,0.0002656761,0.0002592927,0.0002108952,0.0002785187,0.00005012692,0.0002374715],"category_scores_gemma":[0.002068369,0.00006197482,0.00007144615,0.001340382,0.00002576634,0.000930067,0.00004366741,0.0007735207,0.0003327458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004652,"about_ca_system_score_gemma":0.002962647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005800843,"about_ca_topic_score_gemma":0.0008665056,"domain_scores_codex":[0.997761,0.0002513019,0.0004703707,0.0001143449,0.0005185778,0.000884435],"domain_scores_gemma":[0.9987987,0.0003357849,0.0002236151,0.0001960762,0.0003962124,0.00004965649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004642228,0.0001047681,0.00351004,7.525656e-7,0.00001946323,0.000002530706,0.001832238,0.0002510853,0.0001961704,0.8686672,0.00035688,0.1250124],"study_design_scores_gemma":[0.0005527808,0.00004742097,0.003767754,0.000007088775,0.000004306125,0.0002131227,0.01449333,0.0003622509,0.0006172421,0.965497,0.01436314,0.00007456265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951468,0.0009194846,0.0899107,0.002855755,0.0001558534,0.0001587252,0.00001219637,0.00002151353,0.01081893],"genre_scores_gemma":[0.9957551,0.000359962,0.00006126659,0.0001976679,0.00006080795,0.00001112812,0.000007781096,0.000003611063,0.003542618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249379,"threshold_uncertainty_score":0.5255609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588693407653195,"score_gpt":0.3319801122469042,"score_spread":0.3060931781703722,"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."}}