{"id":"W1541613214","doi":"10.22004/ag.econ.273437","title":"Privacy and Endogenous Monitoring Choice When Private Information is a Public Good","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inefficiency; Government (linguistics); Private information retrieval; Pareto principle; Population; Revelation; Public economics; Business; Economics; Public choice; Politics; Microeconomics; Law and economics; Computer security; Law; Political science; Computer science","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":[0.008448223,0.000465843,0.0009830948,0.0008757284,0.001283727,0.00489982,0.0008115399,0.002406779,0.004957539],"category_scores_gemma":[0.02573545,0.0005836088,0.0008074432,0.001466783,0.005109617,0.00691021,0.002025679,0.002897333,0.0004317346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003524904,"about_ca_system_score_gemma":0.001993298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206954,"about_ca_topic_score_gemma":0.001462597,"domain_scores_codex":[0.9943749,0.003247105,0.0002141646,0.0006235677,0.000503625,0.001036595],"domain_scores_gemma":[0.9628599,0.02558548,0.006980073,0.002689633,0.001032413,0.0008523914],"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":[0.0002757707,0.0001560466,0.006412854,0.00009095635,0.00006250104,0.0002501472,0.0005095951,0.02876562,0.0007719921,0.9503897,0.001147255,0.01116764],"study_design_scores_gemma":[0.0001221243,0.00007433874,0.003437688,0.00005161437,0.00004134994,0.0001160832,0.0003558932,0.04677564,0.001016237,0.9449044,0.00307037,0.00003428115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7175183,0.001918156,0.1728577,0.01850448,0.0001046345,0.0001531583,0.000465357,0.0001174868,0.08836076],"genre_scores_gemma":[0.991363,0.0005818095,0.003537231,0.0002583604,0.00005229698,0.00003684401,0.00003240153,0.00001290866,0.004125043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008448223,"threshold_uncertainty_score":0.04467905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177400041033312,"score_gpt":0.2223849554959029,"score_spread":0.1046449513925717,"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."}}