{"id":"W7066393143","doi":"","title":"Insight Grant Competition: Does Transparency Lead to Accountability? A Two-Country Study of Local Implementation of the Extractive Industries Transparency Initiative in West Africa","year":2020,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Brock University","keywords":"Transparency (behavior); Revenue; Accountability; Lead (geology); Government (linguistics); Local government","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00821686,0.0001912055,0.0002999445,0.0009041184,0.005624745,0.005542453,0.0008126005,0.0009876555,0.008098513],"category_scores_gemma":[0.02251077,0.0002743435,0.0001847428,0.002286806,0.00474014,0.004596136,0.003126475,0.002302208,0.0006017071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00620327,"about_ca_system_score_gemma":0.006875665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04914067,"about_ca_topic_score_gemma":0.07019688,"domain_scores_codex":[0.9914903,0.005720413,0.0001677043,0.0002281488,0.0006530363,0.001740391],"domain_scores_gemma":[0.9718143,0.01548897,0.006016347,0.0008916814,0.002388507,0.003400125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004133274,0.002560925,0.291208,0.0003419113,0.00004252612,0.002477307,0.5819722,0.0005584863,0.0005621635,0.05618538,0.01064955,0.05302821],"study_design_scores_gemma":[0.00006889486,0.000485538,0.1511284,0.0002738109,0.00002189018,0.0002288609,0.8154501,0.0005378927,0.0003296642,0.003157045,0.02827828,0.00003962098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728035,0.0001957648,0.0001610933,0.004198669,0.0000135995,0.00005827756,0.00004621514,0.000003752106,0.02251911],"genre_scores_gemma":[0.9958767,0.0001793698,0.00006035356,0.000367403,0.000004934167,0.00004034021,0.00002135071,0.000005387268,0.003444161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04914067,"threshold_uncertainty_score":0.09770924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228145382237424,"score_gpt":0.2152044627976736,"score_spread":0.1923899245739312,"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."}}