{"id":"W2051552702","doi":"10.1016/j.jpubeco.2010.06.008","title":"Providing global public goods under uncertainty","year":2010,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Public good; Economics; Ex-ante; Welfare; Public economics; Homogeneous; Microeconomics; Risk aversion (psychology); Benchmark (surveying); Multiplier (economics); Global public good; Expected utility hypothesis; Macroeconomics; Financial economics","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":[0.00258471,0.0002787173,0.0007731888,0.0004479155,0.0001838784,0.0005037225,0.0008533092,0.0003036507,0.001064193],"category_scores_gemma":[0.0005517513,0.0003195271,0.0004133628,0.0002526023,0.0001546251,0.00174555,0.0001736056,0.0006179896,0.000329584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006797821,"about_ca_system_score_gemma":0.0002769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151579,"about_ca_topic_score_gemma":0.001083293,"domain_scores_codex":[0.9970823,0.00002310189,0.001764276,0.0003692406,0.00003459883,0.0007264691],"domain_scores_gemma":[0.996733,0.0001143078,0.002023359,0.000483799,0.0001197833,0.0005258061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001429669,0.0001536452,0.09328115,0.00001885553,0.000173707,0.000003105049,0.0001270241,0.0003051055,0.00001871874,0.9004303,0.002059154,0.003414923],"study_design_scores_gemma":[0.002041854,0.0001866179,0.01614819,0.00001151547,0.00002049129,0.0004315643,0.0005714667,0.006565439,0.00003272651,0.4807491,0.4924822,0.0007588269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431843,0.0005425216,0.001400473,0.01877289,0.004039165,0.0001397139,0.0003207444,0.00003353912,0.03156662],"genre_scores_gemma":[0.9938934,0.0008003564,0.002014734,0.001490732,0.001552113,0.000006700745,0.00001727459,0.00004292928,0.0001817693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490423,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482373555656329,"score_gpt":0.280333700650004,"score_spread":0.1320963450843711,"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."}}