{"id":"W2138033080","doi":"","title":"Mining for solutions, extracting discord: corporate social responsibility and canadian mining companies in Latin America","year":2009,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Mining and Resource Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Latin Americans; Mining industry; Political science; Business; Data mining; Mining engineering; Computer science; Engineering; Public relations; Law","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001909133,0.0002896998,0.0002364,0.002396978,0.02456733,0.006799679,0.001056402,0.001673377,0.004901713],"category_scores_gemma":[0.003311326,0.0001784366,0.000196559,0.004290837,0.008158004,0.002243878,0.003370311,0.001974924,0.0001663055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1076317,"about_ca_system_score_gemma":0.08404854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922866,"about_ca_topic_score_gemma":0.9967054,"domain_scores_codex":[0.9986141,0.000228629,0.00002473658,0.0001101124,0.000390396,0.0006320535],"domain_scores_gemma":[0.9978552,0.0003754269,0.0001811285,0.00004672332,0.000905753,0.0006356556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001599622,0.0002357102,0.08648629,0.0004366465,0.00005671251,0.002604476,0.6140764,0.0005305126,0.001536637,0.1726398,0.04555291,0.075684],"study_design_scores_gemma":[0.00002282855,0.00002825331,0.07335889,0.0003431054,0.00002929402,0.0002304216,0.6581767,0.0003917094,0.0003652955,0.004436845,0.2625537,0.00006296545],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283682,0.008120103,0.0002660994,0.07596413,0.0001188015,0.00009187541,0.0002077083,0.00001779497,0.1868454],"genre_scores_gemma":[0.9686937,0.004377121,0.0002066974,0.003051504,0.00001346004,0.00001715826,0.00006581605,0.00001310284,0.02356139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076317,"threshold_uncertainty_score":0.7809264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501598745410021,"score_gpt":0.2206868126612295,"score_spread":0.1956708252071293,"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."}}