{"id":"W4390758069","doi":"10.2138/gselements.19.6.345","title":"Geometallurgy: Present and Future","year":2023,"lang":"en","type":"article","venue":"Elements","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada)","funders":"Helmholtz-Zentrum Dresden-Rossendorf","keywords":"Beneficiation; Field (mathematics); Resource (disambiguation); Computer science; Mineral resource classification; Data science; Mining engineering; Earth science; Geology; Geochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008267228,0.00004624323,0.00004279238,0.00004601212,0.000029252,0.00001732408,0.00002870985,0.00001868279,0.0002627786],"category_scores_gemma":[0.00000154617,0.00003989571,0.00001316391,0.00009649943,0.000003157375,0.00005153998,0.00001735455,0.00005501514,0.0002389209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006023812,"about_ca_system_score_gemma":9.29369e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000015619,"about_ca_topic_score_gemma":7.932737e-7,"domain_scores_codex":[0.9996852,0.000005540808,0.00007113909,0.0000586812,0.00007586151,0.000103588],"domain_scores_gemma":[0.9998957,0.000004942338,0.000006483639,0.00005404678,0.000003192727,0.00003566821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005718798,0.00002538422,0.002539947,0.0001339068,0.0001882522,0.00003344919,0.0003516575,0.0008642958,0.02987362,0.0009210267,0.08616921,0.8788936],"study_design_scores_gemma":[0.0001106785,0.000005640644,0.01215497,0.000002544396,0.000003510159,0.000001869678,0.00007556633,0.00849926,0.0005155507,0.00004520271,0.9785266,0.0000586377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740893,0.00032183,0.0001920654,0.0006393545,0.001294149,0.0001226942,0.000006260048,0.0006537341,0.02268065],"genre_scores_gemma":[0.9951537,0.0004034258,0.0002446744,0.00004792735,0.0007470023,0.00001010076,0.00002722864,0.00001541057,0.003350508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8923573,"threshold_uncertainty_score":0.3070925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261160806836404,"score_gpt":0.2415418992347395,"score_spread":0.2289302911663755,"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."}}