{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002014117,0.0002854146,0.0003696645,0.0009350157,0.0004230137,0.00005090967,0.0001806038,0.0002328361,0.00001485105],"category_scores_gemma":[0.00004988942,0.0003698535,0.00008221767,0.0005067489,0.00004824216,0.0001155844,0.00002300799,0.0002954247,0.000002206345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713499,"about_ca_system_score_gemma":0.0001190748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005491707,"about_ca_topic_score_gemma":0.8306285,"domain_scores_codex":[0.9987004,0.00007271822,0.0002501542,0.0003726064,0.0001227045,0.0004814584],"domain_scores_gemma":[0.9993533,0.0001439751,0.0001676343,0.0001510256,0.00004529365,0.0001387343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002305285,0.0003139193,0.4881667,0.003490393,0.001135488,0.001348287,0.02049279,0.0654919,0.0001087697,0.002189639,0.1210785,0.2938784],"study_design_scores_gemma":[0.001664968,0.0001372618,0.08480711,0.0006698538,0.0003043749,1.877759e-8,0.572057,0.03751561,0.00006725259,0.00007010424,0.3012772,0.001429245],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840237,0.000216087,0.0001316802,0.00006462046,0.000226733,0.0003309308,0.0001176466,0.0001225456,0.01476604],"genre_scores_gemma":[0.9920326,0.00004564475,0.001197297,0.00002097702,0.00007629432,0.00000352749,0.0006403535,0.00004455032,0.005938737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8251368,"threshold_uncertainty_score":0.9998754,"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."}}