{"id":"W4366448898","doi":"10.1515/gps-2022-8086","title":"Recovery of critical metals from carbonatite-type mineral wastes: Geochemical modeling investigation of (bio)hydrometallurgical leaching of REEs","year":2023,"lang":"en","type":"article","venue":"Green Processing and Synthesis","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leaching (pedology); Geology; Silicate minerals; Carbonatite; Forsterite; Phlogopite; Silicate; Geochemistry; Mineralogy; Chemistry; Mantle (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753415,0.0001270629,0.0003648791,0.0001940761,0.00004114428,0.00001864257,0.00008391935,0.000120828,0.00002361501],"category_scores_gemma":[0.0006633638,0.0001205547,0.00005829038,0.0003718245,0.0001165615,0.0002777666,0.00002236395,0.0001121961,0.000001494499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009793409,"about_ca_system_score_gemma":0.00003446174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095249,"about_ca_topic_score_gemma":0.000009866181,"domain_scores_codex":[0.998922,0.00004060363,0.0005018273,0.0001736768,0.0002321533,0.000129771],"domain_scores_gemma":[0.9991185,0.000489238,0.00008716856,0.0001013363,0.0001438147,0.00005992721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009665279,0.0000811583,0.001820153,0.003679787,0.0001933091,0.000004878253,0.002810213,0.07274502,0.8987962,0.0001938844,0.00007848303,0.01950026],"study_design_scores_gemma":[0.0001095127,0.0000249777,0.0002603334,0.0003899721,0.0001041773,0.000003745046,0.0004035566,0.8517053,0.1441798,0.002653992,0.00001625245,0.000148372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948952,0.001068253,0.003195884,0.0001086281,0.00005602074,0.0000381279,0.0000214819,0.00009805056,0.0005184109],"genre_scores_gemma":[0.9970294,0.0001127968,0.002724067,0.000007209905,0.00003415046,0.000006207002,0.00002030648,0.00001868228,0.00004722304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7789602,"threshold_uncertainty_score":0.4916076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037440043378679,"score_gpt":0.2617738511861259,"score_spread":0.2243338078074469,"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."}}