{"id":"W2257830208","doi":"10.2139/ssrn.2611356","title":"Wage Dynamics and Peer Referrals","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Wage; Dynamics (music); Labour economics; Economics; Psychology; Demographic economics; Business","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":[0.006042228,0.0002859778,0.001427864,0.001617432,0.001666926,0.003481572,0.001713333,0.004985287,0.0333617],"category_scores_gemma":[0.06542587,0.0006667392,0.0005463793,0.0018044,0.001658922,0.004214205,0.001467211,0.004315665,0.003411949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536733,"about_ca_system_score_gemma":0.0009488866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006864587,"about_ca_topic_score_gemma":0.006779697,"domain_scores_codex":[0.9975371,0.001238115,0.00009854932,0.0003674095,0.0003151296,0.0004435834],"domain_scores_gemma":[0.9660287,0.02587839,0.003724113,0.00147903,0.001244534,0.001645208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007407625,0.001000266,0.07232168,0.0002312784,0.000167644,0.001451277,0.006700281,0.03796988,0.001142761,0.7633798,0.02096832,0.09392606],"study_design_scores_gemma":[0.0002210286,0.0001536446,0.0429618,0.00009265083,0.0001072055,0.0005726495,0.003751738,0.1664361,0.0004183708,0.7758511,0.009344663,0.00008910823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489037,0.002246858,0.05702484,0.02500505,0.0002493872,0.0001263999,0.0006861325,0.0003312254,0.06542651],"genre_scores_gemma":[0.9776711,0.0006017107,0.001833994,0.0002690751,0.0001471995,0.00003263862,0.0001032435,0.00002907189,0.0193119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0333617,"threshold_uncertainty_score":0.111606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126139929251808,"score_gpt":0.2725953437520666,"score_spread":0.2413339444595485,"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."}}