{"id":"W2022157858","doi":"10.2139/ssrn.608041","title":"A Rent Extraction View of Employee Discounts and Benefits","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Extraction (chemistry); Microeconomics; Industrial organization; Economics; Chemistry; Chromatography","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":[0.001896381,0.0005057168,0.0007034912,0.001301686,0.0009394927,0.006705642,0.001665633,0.002842625,0.01553424],"category_scores_gemma":[0.00691907,0.0006024393,0.0008524428,0.001269887,0.003365797,0.01122808,0.001278065,0.003675574,0.001089303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744908,"about_ca_system_score_gemma":0.0007685514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658158,"about_ca_topic_score_gemma":0.001338262,"domain_scores_codex":[0.9991159,0.0002398428,0.00004327147,0.0001526524,0.0003120586,0.0001363115],"domain_scores_gemma":[0.9973131,0.001409563,0.0003312859,0.0004294139,0.0002970968,0.0002194715],"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":[0.0000142152,0.0000125105,0.0001510182,0.0000135452,0.000004960806,0.00002930768,0.00008002342,0.0009646976,0.0001046411,0.9947184,0.0006646216,0.003241961],"study_design_scores_gemma":[0.000009080176,0.00001185216,0.0004196087,0.00002389346,0.00001470608,0.00009139605,0.00008314748,0.005180004,0.0001171556,0.987305,0.006734356,0.000009801406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09094772,0.006341588,0.4488162,0.02255552,0.0004005851,0.00009898521,0.0005923616,0.0001373387,0.4301096],"genre_scores_gemma":[0.9242321,0.00227152,0.01650381,0.0007289766,0.0006795075,0.00004617783,0.00009850359,0.00006633026,0.05537298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01553424,"threshold_uncertainty_score":0.05196726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698522646426185,"score_gpt":0.3693768644607915,"score_spread":0.3223916379965297,"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."}}