{"id":"W4407608984","doi":"10.1162/rest.a.1630","title":"Estimating Peer Effects Using Partial Network Data","year":2025,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564827,0.00004755369,0.0001710061,0.000007195166,0.0002711466,0.00003622652,0.0002408707,0.00001850589,0.00001594267],"category_scores_gemma":[0.0005859651,0.00003635558,0.00001215597,0.00006363657,0.0001035297,0.00007820557,0.00009812503,0.00005663724,0.000002225817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001289364,"about_ca_system_score_gemma":0.0001375632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002757912,"about_ca_topic_score_gemma":0.0002814909,"domain_scores_codex":[0.9994723,0.00007768867,0.000202381,0.00009199026,0.0000386187,0.000117046],"domain_scores_gemma":[0.9991001,0.0004783569,0.00011865,0.0002359857,0.00004208765,0.00002483592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008502457,0.00001538526,0.003531967,0.005727526,0.00009050231,6.731063e-7,0.0006199861,0.002844794,5.748627e-7,0.620397,0.06614467,0.3006184],"study_design_scores_gemma":[0.0001896142,0.00001940116,0.001048655,0.005063317,0.0003091067,8.741913e-7,0.00009772948,0.4394482,0.000002577937,0.0347858,0.5188611,0.0001736438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1199588,0.558497,0.2453928,0.02340091,0.008432769,0.003237536,0.001327341,0.00006691711,0.0396859],"genre_scores_gemma":[0.03111141,0.7279962,0.2332062,0.004656552,0.002176981,0.0000124144,0.0001162639,0.00001774003,0.0007061686],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5856112,"threshold_uncertainty_score":0.2085468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06821969979156467,"score_gpt":0.3854728910088766,"score_spread":0.3172531912173119,"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."}}