{"id":"W1816149294","doi":"10.2139/ssrn.2269380","title":"The Value of Informativeness for Contracting","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Incentive; Economics; Volatility (finance); Microeconomics; Principal–agent problem; Value (mathematics); Compensation (psychology); Wage; Econometrics; Agency (philosophy); Monetary economics; Control theory (sociology); Control (management); Labour economics; Finance; Mathematics; Statistics","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":[0.007646005,0.0000504012,0.00009877108,0.00004724407,0.0006664683,0.0001400724,0.000493251,0.00002571086,0.00004331058],"category_scores_gemma":[0.001519391,0.00002676872,0.00009916999,0.0001933442,0.00008124451,0.0004492472,0.00002063528,0.0003091311,0.00007612316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000766159,"about_ca_system_score_gemma":0.0005369158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008894554,"about_ca_topic_score_gemma":0.00001900446,"domain_scores_codex":[0.9984246,0.00009869129,0.0004688578,0.00006823746,0.000304236,0.0006354131],"domain_scores_gemma":[0.9966601,0.002203576,0.0004910344,0.0001681963,0.0004427488,0.00003437506],"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":[0.00001291182,0.000007261208,0.00008776676,3.196835e-7,0.0000176639,4.400924e-9,0.0001153903,0.0001188797,0.0002853415,0.8227548,0.0001615325,0.1764382],"study_design_scores_gemma":[0.0001820846,0.0000522204,0.0003914833,0.000002263633,0.000004674316,0.00004018357,0.01127103,0.000854066,0.0007527042,0.9644369,0.02197751,0.00003484561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2511702,0.0003899569,0.7421407,0.003468798,0.000192184,0.0003288524,0.000002196166,0.000009442007,0.002297688],"genre_scores_gemma":[0.99732,0.0001289764,0.0001387782,0.00004840517,0.00009287251,0.00003141832,2.54266e-7,0.000003527939,0.002235785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7461498,"threshold_uncertainty_score":0.5126002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035551708483474,"score_gpt":0.3573345080363954,"score_spread":0.3269789909515606,"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."}}