{"id":"W3122551249","doi":"10.5465/ambpp.2014.17435abstract","title":"The Facts About Referrals: Toward an Understanding of Employee Referral Networks","year":2014,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Referral; Productivity; Cognition; Demographic economics; Labour economics; Psychology; Yield (engineering); Service worker; Business; Actuarial science; Economics; Medicine; Family medicine; Psychiatry; Econometrics","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":[0.006186519,0.0002224255,0.0005525798,0.004553947,0.001416818,0.003583388,0.001412081,0.001808502,0.004349461],"category_scores_gemma":[0.04512244,0.0002746439,0.0002907559,0.006829376,0.002189987,0.008618179,0.002608761,0.001607947,0.0004383092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206408,"about_ca_system_score_gemma":0.0008779764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533641,"about_ca_topic_score_gemma":0.01533625,"domain_scores_codex":[0.9965923,0.001326898,0.0003742787,0.0007366787,0.0005739271,0.0003959037],"domain_scores_gemma":[0.9615485,0.01864113,0.01518741,0.002064849,0.001442138,0.00111595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001500154,0.0001264672,0.9023036,0.0001359729,0.00006096795,0.0004363696,0.01114064,0.004220558,0.0003167632,0.04416595,0.003002385,0.03394027],"study_design_scores_gemma":[0.00003526669,0.0001012693,0.8213472,0.0002603674,0.00007896415,0.0007442191,0.01917031,0.02736734,0.0003224167,0.115848,0.01464478,0.00007975054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494665,0.001191872,0.01890758,0.009673397,0.00005112938,0.00008799395,0.002194533,0.00005209304,0.01837484],"genre_scores_gemma":[0.9966755,0.0003011476,0.00170131,0.0002717507,0.00006929797,0.00003844061,0.0005249669,0.000007484437,0.000410145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533641,"threshold_uncertainty_score":0.03271782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043364835757994,"score_gpt":0.2816455253953736,"score_spread":0.1773090418195742,"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."}}