{"id":"W4321460167","doi":"10.1016/j.gexplo.2023.107182","title":"Moving towards sustainable mine waste rock management through automated mineral and geochemical analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weathering; Gangue; Fraction (chemistry); Pyrite; Mineral; Mineralogy; Acid mine drainage; Geology; Geochemistry; Mining engineering; Environmental chemistry; Chemistry; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007571955,0.0005178198,0.0004528191,0.001191564,0.0004334513,0.001755257,0.0008734926,0.0008004809,0.002129582],"category_scores_gemma":[0.001004153,0.0003005814,0.000402852,0.0008344698,0.0004594206,0.001419927,0.001141505,0.0006004849,0.001375283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995472,"about_ca_system_score_gemma":0.001445476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879287,"about_ca_topic_score_gemma":0.008247951,"domain_scores_codex":[0.9993723,0.00008115019,0.00002696642,0.00009102433,0.0003857954,0.00004280427],"domain_scores_gemma":[0.9990126,0.0002371529,0.0001079662,0.0001840255,0.0004205161,0.00003766476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004022688,0.0007244027,0.01956533,0.0003113634,0.0001305561,0.0001174538,0.0001762781,0.03064102,0.3450315,0.002763068,0.006461819,0.593675],"study_design_scores_gemma":[0.0001098389,0.0005799799,0.01882399,0.00008940373,0.0001466528,0.0003338354,0.0006986988,0.5055461,0.4090925,0.01596645,0.0485065,0.0001060889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3844211,0.0008056003,0.5894452,0.002145323,0.0001469914,0.0002720287,0.001432203,0.009558692,0.01177279],"genre_scores_gemma":[0.6943454,0.0005118593,0.2998287,0.0003310954,0.0000435231,0.00008882937,0.0007033059,0.0002321634,0.003915066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002879287,"threshold_uncertainty_score":0.007124186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133548068089733,"score_gpt":0.2569085638761989,"score_spread":0.2455730831953016,"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."}}