{"id":"W4411987139","doi":"10.1016/j.exis.2025.101726","title":"The slow rejection of mercury in Yukon’s small-scale gold mining industry","year":2025,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scholarship Commission; Mineralogical Society of Great Britain and Ireland","keywords":"Gold mining; Mercury (programming language); Scale (ratio); Mining industry; Mining engineering; Business; Geography; Engineering; Computer science; Metallurgy; Materials science; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.0004714128,0.000102248,0.0001218039,0.00002389852,0.0001813225,0.00003746228,0.0001203645,0.000244169,0.000004076718],"category_scores_gemma":[0.00003488534,0.00006489699,0.00004873806,0.0002969535,0.0001642213,0.00003803019,0.00006193522,0.0007490771,3.439569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005884173,"about_ca_system_score_gemma":0.00002275627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015362,"about_ca_topic_score_gemma":0.00002722795,"domain_scores_codex":[0.9994187,0.00004313582,0.0001785627,0.000105572,0.00008251477,0.0001715614],"domain_scores_gemma":[0.9994676,0.000292666,0.00004400829,0.0001552953,0.00002193538,0.00001852215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001390271,0.0002006103,0.04315519,0.0003855046,0.001565333,0.000006953766,0.09488764,0.04645875,0.00487553,0.00676609,0.2410063,0.5605531],"study_design_scores_gemma":[0.001292406,0.0001000169,0.2081745,0.0006569364,0.0001891048,0.000006760471,0.4977873,0.03677754,0.009085142,0.000388083,0.2450117,0.000530468],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745809,0.0008194917,0.0001844708,0.001028284,0.0002129252,0.0001403736,0.000003217589,0.00003965369,0.02299062],"genre_scores_gemma":[0.9939016,0.0004582978,0.00005560401,0.00005061223,0.00006081459,0.00002101655,9.636728e-7,0.000009009867,0.005442083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5600226,"threshold_uncertainty_score":0.3254409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218262625771334,"score_gpt":0.2207822935562862,"score_spread":0.2085996672985728,"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."}}