{"id":"W4285090456","doi":"10.1145/3490486.3538343","title":"Peer Effects from Friends and Strangers: Evidence from Random Matchmaking in an Online Game","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 23rd ACM Conference on Economics and Computation","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Leverage (statistics); Peer effects; Product (mathematics); Peer-to-peer; Computer science; Peer influence; Psychology; Internet privacy; Business; Social psychology; World Wide Web; Mathematics; Artificial intelligence","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":[0.01423084,0.0005865303,0.001328884,0.001158833,0.001734246,0.002636358,0.002064329,0.002035068,0.009150334],"category_scores_gemma":[0.1008454,0.0006993928,0.0006430985,0.001041838,0.002336841,0.003097654,0.00228193,0.002340686,0.001315977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405914,"about_ca_system_score_gemma":0.0005692648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004208212,"about_ca_topic_score_gemma":0.005067023,"domain_scores_codex":[0.991597,0.005642943,0.000326607,0.001218509,0.0008697202,0.0003452188],"domain_scores_gemma":[0.7864543,0.1715851,0.02155233,0.01388561,0.002618827,0.003903853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01140266,0.01055158,0.6598935,0.001966459,0.003898716,0.002424181,0.01254688,0.05975893,0.008920603,0.08124237,0.009169272,0.138225],"study_design_scores_gemma":[0.001836871,0.004765888,0.4430136,0.0002171245,0.001743381,0.0017141,0.007145122,0.3771257,0.005392174,0.1472743,0.009301,0.0004707775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831991,0.0003151972,0.00806048,0.000446775,0.00002452549,0.0001371691,0.0001883082,0.00003762915,0.007590978],"genre_scores_gemma":[0.996877,0.0001172687,0.001667287,0.0001466123,0.00002025295,0.00005899713,0.0001102554,0.00001609293,0.0009863237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423084,"threshold_uncertainty_score":0.07526076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08598168647289438,"score_gpt":0.335289807474686,"score_spread":0.2493081210017916,"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."}}