{"id":"W3009644705","doi":"10.1016/j.envsci.2020.02.003","title":"Locating female ‘Voices’ in the Minamata Convention on Mercury in Sub-Saharan Africa: The case of Ghana","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Higher Education Funding Council for England","keywords":"Gold mining; Workforce; Convention; Business; Economic shortage; Stock (firearms); Mercury (programming language); Work (physics); Treaty; Economic growth; Environmental protection; Political science; Geography; Engineering; Economics; Law","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":[0.003294554,0.000293747,0.0002650041,0.0007539364,0.01766526,0.005883999,0.001263852,0.005517554,0.01496015],"category_scores_gemma":[0.005639082,0.0002963962,0.000188139,0.001344051,0.01499811,0.005141691,0.005758983,0.002841634,0.0004482241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006794165,"about_ca_system_score_gemma":0.004237489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05703162,"about_ca_topic_score_gemma":0.1222534,"domain_scores_codex":[0.9973103,0.001404009,0.00002950788,0.0001398488,0.0001188349,0.00099748],"domain_scores_gemma":[0.9973729,0.001745229,0.0003708627,0.00006162099,0.0001117322,0.0003376383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001931093,0.00005393477,0.01276514,0.0001672525,0.00001326636,0.01415892,0.6648874,0.0004501614,0.00199494,0.2709888,0.00836394,0.02596316],"study_design_scores_gemma":[0.00002750727,0.00005175983,0.007475622,0.0002941255,0.00001527126,0.0009538603,0.8564215,0.0001872313,0.0005899037,0.01769692,0.1162637,0.0000225144],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7976241,0.001251844,0.001014762,0.03343817,0.0001323837,0.00004698963,0.00003147381,0.00001012113,0.1664502],"genre_scores_gemma":[0.9881343,0.0002956561,0.0002067919,0.001136855,0.00002338213,0.00001453326,0.00000476153,0.000009191534,0.01017468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05703162,"threshold_uncertainty_score":0.1133993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752289050238648,"score_gpt":0.2308649280608596,"score_spread":0.2133420375584732,"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."}}