{"id":"W3047051951","doi":"10.1016/j.exis.2020.07.018","title":"Enhancing corporate standing, shifting blame: An examination of Canada's Extractive Sector Transparency Measures Act","year":2020,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Transparency (behavior); Accountability; Accounting; Scrutiny; Mandate; Business; Shareholder; Corporate social responsibility; Enforcement; Language change; Government (linguistics); Audit; Public relations; Corporate governance; Finance; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004139602,0.0001623543,0.0001929231,0.00001271198,0.0002347471,0.00004129143,0.0001162762,0.000100014,0.00003440081],"category_scores_gemma":[0.00005893545,0.0001273532,0.00004102092,0.0001879857,0.00008919853,0.0001476452,0.00001874891,0.0004288839,1.804337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077213,"about_ca_system_score_gemma":0.0001047574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721914,"about_ca_topic_score_gemma":0.00293918,"domain_scores_codex":[0.9990445,0.00007714568,0.0002207135,0.0001725957,0.0002702405,0.000214763],"domain_scores_gemma":[0.9994305,0.0001566864,0.0001513504,0.0001030982,0.0000611513,0.00009715356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001936798,0.0001661191,0.004659146,0.0008564668,0.002407783,0.00003853189,0.5956942,0.06486041,0.1462027,0.001925922,0.008523662,0.1744713],"study_design_scores_gemma":[0.001683484,0.0006002196,0.2360726,0.000407313,0.0004937265,0.000009317752,0.4190488,0.07613258,0.2470502,0.0001113707,0.01696982,0.001420683],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895486,0.0002836642,0.005884406,0.0002773396,0.00008375706,0.0001845403,0.00003713704,0.00006995465,0.003630566],"genre_scores_gemma":[0.999504,0.00008809154,0.0001004781,0.00004861011,0.0001381955,0.000008298705,0.000006796105,0.0000223625,0.00008316272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2314134,"threshold_uncertainty_score":0.5193312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463281355565694,"score_gpt":0.2118071661555676,"score_spread":0.1671743525999107,"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."}}