{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097867,0.0001065045,0.0001166619,0.0000676761,0.0001092182,0.0002200642,0.0004987846,0.00006044253,0.000001597556],"category_scores_gemma":[0.00006973775,0.00008919192,0.0000326472,0.0001361388,0.00002816026,0.0004204146,0.0001048334,0.001070456,0.00002545223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209261,"about_ca_system_score_gemma":0.001324928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323202,"about_ca_topic_score_gemma":0.000209625,"domain_scores_codex":[0.9980515,0.00006367988,0.0001672144,0.0001916537,0.0003263738,0.001199637],"domain_scores_gemma":[0.9993265,0.00001701532,0.0000703948,0.0002051392,0.0001976637,0.0001832955],"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":[0.00000473942,0.00001377895,0.0002611759,7.852739e-7,0.00001751705,0.000004752945,0.0002186323,0.00004420618,0.0000210823,0.9316971,0.0003459203,0.06737031],"study_design_scores_gemma":[0.0003755932,0.0002653774,0.0001191654,0.000009794301,0.000007304782,0.001142566,0.0004003703,0.1046008,0.00002604148,0.8921505,0.0007253452,0.0001771434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0537145,0.001327268,0.9371639,0.004632668,0.0002010714,0.0000304464,5.059091e-7,0.00006191276,0.002867717],"genre_scores_gemma":[0.991074,0.0005199587,0.003777197,0.0001909866,0.0001006883,0.000001121111,9.629096e-7,0.000008165371,0.004326968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9373595,"threshold_uncertainty_score":0.4650657,"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."}}