{"id":"W4236805215","doi":"10.1108/oxan-db218562","title":"Extractives transparency push will slow under Trump","year":2017,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Deregulation; Language change; Accountability; Business; Resource (disambiguation); International economics; Law and economics; International trade; Public economics; Economics; Market economy; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002009267,0.000583747,0.001054452,0.0003239653,0.0002356685,0.0002512044,0.0008056486,0.0005565211,0.01346345],"category_scores_gemma":[0.00004604073,0.000658149,0.0003563298,0.00006712859,0.0001378981,0.0003546871,0.00009839344,0.0004233467,0.001621361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821584,"about_ca_system_score_gemma":0.00003986984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03663452,"about_ca_topic_score_gemma":0.000400881,"domain_scores_codex":[0.9974685,0.00001064896,0.0007035262,0.001070758,0.0000730446,0.0006735677],"domain_scores_gemma":[0.9979204,0.00002678469,0.0009821459,0.0008571746,0.00001259208,0.0002009046],"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":[0.00001207996,0.00004758574,0.00005607244,0.0000355766,0.0002202213,0.000009180476,0.000482024,0.000001569293,0.000008822956,0.005308628,0.9879845,0.005833739],"study_design_scores_gemma":[0.0004783364,0.00002592576,0.0007541676,0.0001800761,0.00000677866,0.000006876198,0.000006611507,0.00003542556,0.00002099125,0.004348408,0.9932422,0.0008942251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000103769,0.0525145,0.001471371,0.07149761,0.001690089,0.0005849411,0.0003858003,0.0003339028,0.871418],"genre_scores_gemma":[0.0008651577,0.01054815,0.001248879,0.03521594,0.000909881,0.00008258464,0.0001460748,0.0005789387,0.9504044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07898638,"threshold_uncertainty_score":0.999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450336543200502,"score_gpt":0.2422371763465227,"score_spread":0.2077338109145177,"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."}}