{"id":"W2263972912","doi":"","title":"Do informal networks matter in the Ukrainian labor market","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ukrainian; Informal sector; Labour economics; Wage; Population; Survey data collection; Business; Minimum wage; Economics; Demographic economics; Economic growth; Sociology","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":[0.0008141059,0.00009284425,0.0002325032,0.0009433728,0.0009243608,0.002432015,0.0003132928,0.0003949924,0.005557923],"category_scores_gemma":[0.002961323,0.0001201366,0.0001166245,0.0008845688,0.001378329,0.001898466,0.001345291,0.0003512336,0.0003411763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009630123,"about_ca_system_score_gemma":0.0007260176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155664,"about_ca_topic_score_gemma":0.01342843,"domain_scores_codex":[0.9994222,0.0001757226,0.00002303342,0.000091063,0.00008187971,0.0002061556],"domain_scores_gemma":[0.9982688,0.0005110036,0.0006775,0.00006206038,0.00009157719,0.000388909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003579249,0.0003128571,0.9160088,0.00009869537,0.00007233534,0.0006527775,0.02006305,0.001104036,0.0007659085,0.02705876,0.00100199,0.0325029],"study_design_scores_gemma":[0.00002500766,0.0001067463,0.9510055,0.00008494218,0.0000235174,0.0001810174,0.03600119,0.00181365,0.0001534459,0.004800232,0.005793029,0.00001160542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954874,0.0002588789,0.00009513628,0.0003687309,0.000005117606,0.000005744317,0.0000465175,0.000002106974,0.003730273],"genre_scores_gemma":[0.9995329,0.00006997609,0.00001219337,0.00002132374,0.000003614808,0.000001743272,0.00001789855,0.000001093,0.0003392628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155664,"threshold_uncertainty_score":0.02297878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195416397580667,"score_gpt":0.3341763207630931,"score_spread":0.3022221567872864,"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."}}