{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002969214,0.0001895306,0.0004249405,0.0001655364,0.0001654724,0.0000963015,0.0006901866,0.0001596967,0.00002469347],"category_scores_gemma":[0.00009639277,0.0001683901,0.0001083202,0.0003247229,0.0001450352,0.0004557546,0.0002180739,0.0002570538,0.000005782189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025843,"about_ca_system_score_gemma":0.000002661661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003731948,"about_ca_topic_score_gemma":0.00000259279,"domain_scores_codex":[0.9980935,0.00001591698,0.0009536781,0.0004172624,0.0001180698,0.0004015662],"domain_scores_gemma":[0.9988391,0.00007298952,0.0008052427,0.0001610248,0.00003617722,0.00008542817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004169073,0.0000287609,0.02496253,0.0001555348,0.0000931507,9.10122e-8,0.0002187865,0.0000553207,0.000005411423,0.9717743,0.0006099116,0.002054506],"study_design_scores_gemma":[0.0007379398,0.0001663812,0.1682613,0.0001030353,0.00003701004,6.289827e-7,0.0008476741,0.009783031,0.00005050631,0.7860318,0.03358865,0.0003920239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861826,0.0006491814,0.01353085,0.002690537,0.0002996099,0.0005485298,0.00002592389,0.00008427801,0.1203451],"genre_scores_gemma":[0.997055,0.001419353,0.0004855094,0.0003425654,0.00009444488,0.00001704021,0.000004423575,0.0000291785,0.0005524792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857425,"threshold_uncertainty_score":0.686675,"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."}}