{"id":"W4413706106","doi":"10.1080/23322373.2025.2536381","title":"The Extractive Industries Transparency Initiative (EITI): exploring global extractive firms’ interpretation of EITI initiatives in Ghana’s mining sector amidst institutional complexity","year":2025,"lang":"en","type":"article","venue":"Africa Journal of Management","topic":"Mining and Resource Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Brock University","funders":"","keywords":"Transparency (behavior); Interpretation (philosophy); Business; Natural resource economics; Political science; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005258253,0.0002144361,0.0003292709,0.0003730585,0.0001203673,0.00005745723,0.0003290781,0.00005699267,0.00002736912],"category_scores_gemma":[0.000101602,0.0001765338,0.000106781,0.0006841611,0.0002191218,0.0004998046,0.00008118849,0.0003523094,0.00000225031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905284,"about_ca_system_score_gemma":0.00007000671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009892703,"about_ca_topic_score_gemma":0.00003973133,"domain_scores_codex":[0.9982427,0.0001454572,0.000791315,0.000160674,0.0003899047,0.0002699122],"domain_scores_gemma":[0.999025,0.0003375653,0.0003084834,0.0001403919,0.000138157,0.00005037006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001866538,0.001406577,0.007308027,0.001628709,0.006016503,0.0006610237,0.1058634,0.3194757,0.00007608667,0.1364531,0.003817921,0.4154265],"study_design_scores_gemma":[0.005644118,0.001119521,0.545646,0.006430973,0.0007479528,0.00002734034,0.3732592,0.03131812,0.001155726,0.00557413,0.02804895,0.001027955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4793322,0.002596192,0.04000216,0.0004897512,0.001121124,0.0006722956,0.00005513931,0.00007463427,0.4756564],"genre_scores_gemma":[0.997725,0.0004084267,0.00167532,0.00002035864,0.00004578076,0.00004223965,0.000003691949,0.00001008293,0.00006913592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383379,"threshold_uncertainty_score":0.7198841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029470483578851,"score_gpt":0.2668135545940074,"score_spread":0.1965188497582189,"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."}}