{"id":"W1510734891","doi":"","title":"The Importance of Signalling in Job Placement and Promotion","year":2006,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Signalling; Promotion (chess); Sample (material); Entry Level; Set (abstract data type); Business; Labour economics; Demographic economics; Marketing; Computer science; Economics; Medical education; Microeconomics; Political science; Medicine; Law","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":[0.01091048,0.0004600223,0.001049701,0.001451074,0.001564195,0.003478656,0.001581899,0.002454181,0.008585121],"category_scores_gemma":[0.07459704,0.0006464309,0.0006963116,0.001687736,0.003178029,0.00323191,0.002890881,0.003251821,0.00122361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131511,"about_ca_system_score_gemma":0.001551925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004500484,"about_ca_topic_score_gemma":0.004583085,"domain_scores_codex":[0.9940403,0.002241607,0.0003846621,0.001001673,0.001220937,0.001110884],"domain_scores_gemma":[0.8829651,0.07967666,0.02346114,0.006361117,0.002332835,0.00520303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005098474,0.001848689,0.8067028,0.0004451054,0.0002903596,0.0008017736,0.005519885,0.01779999,0.01415397,0.04024969,0.0009888882,0.1061005],"study_design_scores_gemma":[0.000186788,0.001536187,0.9139978,0.0001092778,0.0001266363,0.0004244803,0.002704842,0.01951645,0.003466118,0.05606935,0.001666569,0.0001954473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818762,0.0002364745,0.007308871,0.0008098145,0.00005340516,0.00005155799,0.0002247429,0.00004395721,0.009395083],"genre_scores_gemma":[0.9983221,0.00005311957,0.0006231965,0.0000499697,0.00002112628,0.000009437676,0.00009038211,0.000004721478,0.0008259392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091048,"threshold_uncertainty_score":0.05770081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09334551509112589,"score_gpt":0.338711662529125,"score_spread":0.2453661474379992,"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."}}