{"id":"W7099671574","doi":"","title":"2010): “Heterogeneous productivity in voluntary public good provision: an experimental analysis,” Working paper","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Creed; Public good; Global public good; Debt","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02161473,0.0007262712,0.001475139,0.000528561,0.001150077,0.003206766,0.001890599,0.004075962,0.04452717],"category_scores_gemma":[0.06241545,0.0009664237,0.001127995,0.0008713121,0.001963255,0.004085805,0.003244951,0.003062386,0.005599608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140524,"about_ca_system_score_gemma":0.001869013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005667669,"about_ca_topic_score_gemma":0.005423889,"domain_scores_codex":[0.9942048,0.004001848,0.0003861387,0.0006923766,0.0004007099,0.0003141407],"domain_scores_gemma":[0.8216861,0.1464295,0.01779716,0.01013928,0.001866816,0.002081264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1525952,0.03586626,0.1688736,0.003541359,0.004844129,0.0007291335,0.008600324,0.04278753,0.009310627,0.2044744,0.2128668,0.1555106],"study_design_scores_gemma":[0.05947667,0.01973142,0.3833163,0.00100443,0.007365188,0.0004063567,0.01064273,0.05165059,0.01768555,0.3212563,0.1264526,0.001011775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9177052,0.002009098,0.009856079,0.01178754,0.0009550175,0.001295595,0.009039161,0.0001943,0.04715787],"genre_scores_gemma":[0.9732462,0.0006241642,0.003373284,0.002066546,0.0004132295,0.001916419,0.003536124,0.0001336498,0.01469028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9554728,"threshold_uncertainty_score":0.1489582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186672297358719,"score_gpt":0.2579421449165901,"score_spread":0.2060754219430029,"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."}}