{"id":"W4395032813","doi":"10.1515/9781928096832-014","title":"12 Canary in a Coal Mine: Indigenous Women and Extractive Industries in Canada","year":2023,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Mining and Resource Management","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Indigenous; Coal; Coal mining; Geography; Mining engineering; Environmental science; Archaeology; Geology; Ecology; Biology","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":[0.00008706009,0.0003672537,0.0004428241,0.0005019799,0.0001031448,0.00001634203,0.0002391024,0.0003100473,0.00001245188],"category_scores_gemma":[0.000005759765,0.0004536565,0.0000300957,0.00002366028,0.00006468983,0.00004384016,0.0002700706,0.0007765375,0.000001613008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434207,"about_ca_system_score_gemma":0.0002286514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8132631,"about_ca_topic_score_gemma":0.1779661,"domain_scores_codex":[0.9986535,0.00002891226,0.0002154696,0.0003642857,0.0002480979,0.0004897679],"domain_scores_gemma":[0.9994111,0.00009103971,0.00007516359,0.0002396805,0.00001978187,0.0001632411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002381436,0.000248804,0.01101739,0.008855178,0.00850909,0.154337,0.1196057,0.2351031,0.00003765889,0.2709015,0.07118659,0.1178165],"study_design_scores_gemma":[0.0007495122,0.00004183902,0.001256739,0.0003317932,0.00004172644,0.000003580851,0.002966149,0.000198502,0.00001683637,0.00003669412,0.9937104,0.0006462526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0235705,0.000006914822,0.000001688756,0.00002194073,0.0001696875,0.0004753687,0.0004353465,0.0001438608,0.9751747],"genre_scores_gemma":[0.1175388,0.0001782465,0.000009699667,0.00002719857,0.00003066288,0.000006612005,0.00003256298,0.00008786289,0.8820884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9225238,"threshold_uncertainty_score":0.9997915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168291142463929,"score_gpt":0.1645631088794132,"score_spread":0.1528801974547739,"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."}}