{"id":"W3124400327","doi":"","title":"Subjects in the Lab, Activists in the Field: Public Goods and Punishment","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Public goods game; Public good; Punishment (psychology); Experimental economics; Field (mathematics); Microeconomics; Nash equilibrium; Subject (documents); Public economics; Economics; Level playing field; Business; Public relations; Political science; Social psychology; Psychology; 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":[0.006038276,0.0005233096,0.0006436086,0.0003757895,0.0009953552,0.001615889,0.000552869,0.001032955,0.007793206],"category_scores_gemma":[0.01004372,0.0002993268,0.0002089546,0.000287529,0.001955293,0.0008197407,0.00102648,0.0006844214,0.0008636107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025298,"about_ca_system_score_gemma":0.0008543602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008844378,"about_ca_topic_score_gemma":0.001328418,"domain_scores_codex":[0.9969975,0.002170017,0.0000797375,0.0003091089,0.0002194736,0.0002241383],"domain_scores_gemma":[0.9842415,0.009007079,0.003480152,0.001356995,0.0003666138,0.001547545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05749357,0.07086687,0.3693225,0.001852292,0.001383002,0.002450602,0.01737009,0.02698424,0.1741438,0.137293,0.01065854,0.1301814],"study_design_scores_gemma":[0.0159933,0.1125266,0.5270696,0.0004890836,0.0009231385,0.001908043,0.03643782,0.08417878,0.03541797,0.1514255,0.03317892,0.0004513891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991302,0.00004848699,0.002518992,0.0002970905,0.00002017096,0.0001766582,0.00005094392,0.00001565982,0.005569906],"genre_scores_gemma":[0.9943293,0.00004913651,0.001463927,0.0002737279,0.00001537805,0.0004914067,0.00005950107,0.000006018704,0.003311645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007793206,"threshold_uncertainty_score":0.03193384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07300168745334323,"score_gpt":0.4041500618236115,"score_spread":0.3311483743702682,"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."}}