{"id":"W7100544163","doi":"","title":"Nickel and Cobalt Recovery from Mesaba","year":2009,"lang":"en","type":"article","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cobalt; Nickel; Process (computing); Technology transfer; Technology development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003274234,0.00004623615,0.00005437184,0.00001546427,0.00001581396,0.00002215303,0.00002141216,0.00003009196,0.000377974],"category_scores_gemma":[0.000006778194,0.00003784958,0.00001591602,0.00002328678,0.000002910793,0.00008430891,0.000002958281,0.000063173,0.00007271035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007197082,"about_ca_system_score_gemma":0.000001226826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003028126,"about_ca_topic_score_gemma":0.0000131447,"domain_scores_codex":[0.9997787,0.000004490747,0.00006266082,0.00005810896,0.00003522863,0.00006079749],"domain_scores_gemma":[0.9998872,0.00001571759,0.000004803571,0.00005326137,0.000002792347,0.00003625572],"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":[0.000009441605,0.00001877664,0.0002048114,0.000005881401,0.00003380339,0.000004357876,0.0000602766,0.0004118533,0.1319931,0.00171845,0.01381306,0.8517262],"study_design_scores_gemma":[0.00144458,0.0002137925,0.1261669,0.00007308532,0.00006075012,0.0000425441,0.0004094367,0.1203213,0.06702077,0.00987924,0.6731901,0.00117756],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7629376,0.0007354181,0.00833204,0.0002508078,0.0003498924,0.00004198764,0.00000490381,0.0003559556,0.2269914],"genre_scores_gemma":[0.9949946,0.0001813178,0.002295412,0.000422612,0.00006046211,2.973125e-7,0.000005415518,0.000003867437,0.002035986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8505486,"threshold_uncertainty_score":0.413855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00912854318645235,"score_gpt":0.2067067930051145,"score_spread":0.1975782498186621,"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."}}