{"id":"W2119181621","doi":"","title":"Financing Public Goods via Lotteries","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Public good; Business; Finance; Public finance; Economics; Public economics; Microeconomics; Macroeconomics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01026999,0.0002787496,0.0005572762,0.0008754519,0.0004846605,0.0007806662,0.001901682,0.0004362316,0.001146708],"category_scores_gemma":[0.004117112,0.0002663838,0.0002314175,0.0005818313,0.0006882494,0.0002968996,0.00143718,0.001644381,0.0003174205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315651,"about_ca_system_score_gemma":0.0007405908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001824677,"about_ca_topic_score_gemma":0.0001277624,"domain_scores_codex":[0.9950718,0.0008996964,0.00118963,0.001380045,0.0006844664,0.0007743244],"domain_scores_gemma":[0.9948419,0.001987625,0.0004073692,0.002226887,0.0002907112,0.000245513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004165814,0.0002112035,0.006686407,0.0000334549,0.0000471999,0.00001357854,0.0005866828,0.004840873,0.0002140827,0.04217703,0.001592283,0.9435555],"study_design_scores_gemma":[0.0002695333,0.00004375909,0.005143793,0.0000470499,0.000003816693,0.00002472224,0.001538073,0.002801683,0.0003598804,0.4164177,0.5728521,0.0004979919],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4846163,0.0002310434,0.002523676,0.005938087,0.001716175,0.001362004,0.0001227506,0.0001213148,0.5033686],"genre_scores_gemma":[0.9783916,0.001205342,0.001385152,0.0002529256,0.0002424352,0.0004313725,0.00002529265,0.000046715,0.01801919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9430575,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421424802865746,"score_gpt":0.4131229716341689,"score_spread":0.2709804913475944,"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."}}