{"id":"W4391349625","doi":"10.1007/978-3-031-43091-6_2","title":"Merging Local Content and Women’s Economic Empowerment in Tanzania’s Extractive Industries","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mining and Resource Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Tanzania; Empowerment; Economics; Business; Economic growth; Socioeconomics","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":[0.0004631326,0.0002243299,0.0001253155,0.0007554794,0.003919263,0.003706363,0.0004144289,0.0005654279,0.008960851],"category_scores_gemma":[0.0007110833,0.0001471214,0.0001264764,0.001366348,0.00390745,0.002500471,0.002626664,0.0009530531,0.0004236615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004157825,"about_ca_system_score_gemma":0.00286695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009625539,"about_ca_topic_score_gemma":0.03887876,"domain_scores_codex":[0.9997727,0.00009128235,0.000004494034,0.00001459273,0.00002783033,0.00008895961],"domain_scores_gemma":[0.9997228,0.0001469971,0.00003220452,0.00001467509,0.00002473585,0.00005860476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001258094,0.0001284438,0.008935083,0.0003362685,0.00001126482,0.001492401,0.2787459,0.0002735016,0.002053516,0.546259,0.01922093,0.1424178],"study_design_scores_gemma":[0.00002791192,0.000167318,0.04018931,0.00110236,0.00005245602,0.0005800723,0.2404216,0.0005467964,0.002293114,0.07954599,0.6350517,0.00002147738],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3640443,0.006136254,0.0015746,0.01010686,0.0001739012,0.00005317073,0.00005633038,0.00004483958,0.6178098],"genre_scores_gemma":[0.9013957,0.00146136,0.0005681416,0.0005524132,0.00006256397,0.0000305512,0.00002697467,0.00002884899,0.09587353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009625539,"threshold_uncertainty_score":0.03016728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747557926602104,"score_gpt":0.2007834414600319,"score_spread":0.1833078621940108,"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."}}