{"id":"W6909910239","doi":"10.3886/e165641","title":"Data and Code for: Reversing the Resource Curse - Foreign Corruption Regulation and the Local Economic Benefits of Resource Extraction","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Resource curse; Language change; Resource (disambiguation); Foreign Corrupt Practices Act; Commodity; Natural resource; Electricity; Politics; Reversing","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"],"consensus_categories":[],"category_scores_codex":[0.007619988,0.0005364799,0.000707299,0.0003328669,0.0008434003,0.000416314,0.003167833,0.0004693349,0.00001492348],"category_scores_gemma":[0.001336953,0.0004050017,0.00006820808,0.0003147679,0.001542214,0.001628472,0.003660726,0.0006987489,0.000136534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295883,"about_ca_system_score_gemma":0.00008835995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131061,"about_ca_topic_score_gemma":0.003634214,"domain_scores_codex":[0.9959041,0.0003925496,0.0009677688,0.001694722,0.0005497836,0.000491091],"domain_scores_gemma":[0.9883456,0.002574081,0.001748962,0.007138507,0.00008128505,0.0001115924],"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":[0.001214228,0.00001968241,0.00001707683,0.0002042695,0.0001333008,0.00000120214,0.00008661985,0.0006625456,0.00003016648,0.0004981037,0.9911441,0.005988751],"study_design_scores_gemma":[0.002008754,0.00005336873,0.0004354873,0.000588299,0.001120901,0.00011187,0.0009435226,0.05337201,0.00001689569,0.0003604035,0.9405936,0.0003948628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001784304,0.00138846,0.0004266273,0.0005960444,0.0002249559,0.001756883,0.9936922,0.00009949542,0.00003107594],"genre_scores_gemma":[0.001084472,0.001194626,0.0002215358,0.00009760947,0.0005793998,0.0000444237,0.9965289,0.0001694209,0.00007959112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05270947,"threshold_uncertainty_score":0.9998402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09244303315514141,"score_gpt":0.3267482384321291,"score_spread":0.2343052052769877,"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."}}