{"id":"W4416080971","doi":"10.1007/978-3-032-00167-2_30","title":"Use of the CESL Process for PGM Recovery","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Process (computing); Product (mathematics); Work (physics); Group (periodic table); Order (exchange); Refining (metallurgy)","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":[0.00002652488,0.000118257,0.0001434209,0.00005698582,0.00002735896,0.0000216641,0.00009691521,0.0001535433,0.0003929652],"category_scores_gemma":[0.00003824891,0.00008619887,0.00009879044,0.00002413729,0.00001379924,0.0001210789,0.000008642376,0.0001091145,0.000008560669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001713301,"about_ca_system_score_gemma":0.00005682602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001415323,"about_ca_topic_score_gemma":0.0000351103,"domain_scores_codex":[0.9995581,0.000001305409,0.0002020575,0.00009391964,0.00008567022,0.00005898003],"domain_scores_gemma":[0.9995468,0.0001091139,0.00005488304,0.0001504766,0.0001248877,0.00001388434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005263518,0.00002161135,0.000009713157,0.004778475,0.0003937244,4.652739e-7,0.0001352264,0.029476,0.0004759626,0.3278657,0.6191006,0.01768985],"study_design_scores_gemma":[0.00005230743,0.000008180233,0.000002507871,0.0001310726,0.00003264917,6.327294e-7,0.000005623689,0.001616442,0.004535529,0.008344613,0.9851556,0.0001148606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001512446,0.0002049799,0.005590705,0.00008326178,0.0005646559,0.0002816167,0.00006645574,0.0001192198,0.993074],"genre_scores_gemma":[0.001307231,0.0002325615,0.0001953349,0.0001724835,0.00004376932,0.00002103093,0.00001660928,0.00002209388,0.9979889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.366055,"threshold_uncertainty_score":0.4302693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04696086712127379,"score_gpt":0.2658435060982788,"score_spread":0.218882638977005,"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."}}