{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003368131,0.0008645687,0.0008186193,0.001759348,0.0008549914,0.004196689,0.002133274,0.003767448,0.01893542],"category_scores_gemma":[0.002667624,0.000358071,0.0006870516,0.002744931,0.003900986,0.01013706,0.002735244,0.002321937,0.007458733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756836,"about_ca_system_score_gemma":0.003039807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732113,"about_ca_topic_score_gemma":0.002544201,"domain_scores_codex":[0.9993423,0.0001330598,0.00005998715,0.0001328915,0.0002217636,0.0001098607],"domain_scores_gemma":[0.9974594,0.0009886653,0.0001962682,0.0002293844,0.0006702195,0.0004559796],"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":[0.0002037029,0.0001571314,0.001224331,0.002947585,0.00002854386,0.0001776027,0.0003208673,0.002055197,0.00149059,0.09801301,0.04649625,0.8468851],"study_design_scores_gemma":[0.00001219986,0.0001404136,0.001421351,0.001577988,0.00001794722,0.0004717269,0.0008578542,0.001162789,0.0007064923,0.07724553,0.9163371,0.0000485886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00367991,0.9203594,0.009402914,0.03283648,0.002674067,0.00002423544,0.0001578533,0.0003623007,0.03050272],"genre_scores_gemma":[0.03374271,0.9243652,0.01676409,0.004778453,0.003588419,0.00006232315,0.0004049198,0.0001211118,0.01617267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01893542,"threshold_uncertainty_score":0.06334525,"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."}}