{"id":"W2163196742","doi":"10.2139/ssrn.2317769","title":"Social Networks and Peer Effects at Works","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Sociology; Psychology; Computer science; 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":[0.001595647,0.0002462498,0.0004352759,0.002757314,0.002788485,0.003369157,0.0008069474,0.001352407,0.02902656],"category_scores_gemma":[0.01124438,0.0002083538,0.0003118674,0.002610827,0.001974092,0.002967385,0.002611625,0.001203721,0.001849433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178774,"about_ca_system_score_gemma":0.0009513226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009849372,"about_ca_topic_score_gemma":0.01687997,"domain_scores_codex":[0.9980789,0.0008442676,0.000064366,0.0002158039,0.0003023587,0.0004943159],"domain_scores_gemma":[0.9838213,0.009195044,0.001836911,0.0005096936,0.0009771694,0.003659837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005762718,0.001635447,0.8232807,0.0001817773,0.000318127,0.0006093066,0.02719531,0.001883816,0.0007189205,0.07835742,0.005018321,0.06022451],"study_design_scores_gemma":[0.00008939935,0.0003392934,0.8838683,0.0001468686,0.0003086892,0.0002526028,0.05965169,0.00242401,0.0003875199,0.03840942,0.01408522,0.00003696586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393534,0.0008386428,0.0007402783,0.002666344,0.00005827028,0.00002494352,0.0002144532,0.00001413045,0.05608964],"genre_scores_gemma":[0.9964843,0.0001656036,0.00004083475,0.00003279741,0.000047934,0.00000688041,0.00002264704,0.000003154732,0.003195801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02902656,"threshold_uncertainty_score":0.09710354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00627047682580541,"score_gpt":0.2546759016945331,"score_spread":0.2484054248687277,"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."}}