{"id":"W3001198281","doi":"10.1146/annurev-economics-020320-033926","title":"Peer Effects in Networks: A Survey","year":2020,"lang":"en","type":"preprint","venue":"Annual Review of Economics","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Endogeneity; Peer effects; Microfoundations; Identification (biology); Contrast (vision); Econometrics; Panel data; Network structure; Computer science; Instrumental variable; Random effects model; Economics; Psychology; Social psychology; Machine learning; 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":[0.001718805,0.0007283672,0.001158157,0.006157487,0.001024514,0.003181026,0.001085909,0.00179561,0.007177351],"category_scores_gemma":[0.006915323,0.00055161,0.0005066306,0.01094083,0.002057434,0.008107454,0.001471055,0.001415563,0.001498338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579563,"about_ca_system_score_gemma":0.001141535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057314,"about_ca_topic_score_gemma":0.001456375,"domain_scores_codex":[0.9985604,0.0004051588,0.0001052831,0.0002833132,0.0005181188,0.000127827],"domain_scores_gemma":[0.989223,0.008800592,0.0006662497,0.0003317799,0.0006925133,0.0002857924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006150126,0.0001174702,0.009467883,0.007647834,0.0001303311,0.0004361215,0.001257893,0.006066401,0.0005117193,0.3302901,0.02382048,0.6201923],"study_design_scores_gemma":[0.00001339692,0.0001004237,0.01132014,0.003526661,0.0001046215,0.002263625,0.001301588,0.004808783,0.0005423598,0.2130957,0.762848,0.00007476543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01478758,0.8974656,0.02094056,0.004543669,0.0004593089,0.00005753175,0.0004056399,0.00008557527,0.06125444],"genre_scores_gemma":[0.0665813,0.9221416,0.004632421,0.0004993319,0.001638115,0.00005387916,0.0002993891,0.00003292951,0.004120956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007177351,"threshold_uncertainty_score":0.02401066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020339922578733,"score_gpt":0.2834362315639113,"score_spread":0.233232832338124,"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."}}