{"id":"W3131247105","doi":"10.1007/978-3-030-65647-8_15","title":"Chemical Leaching of Inactive Gold Mine Tailings as a Secondary Source of Cobalt and Nickel—A Preliminary Case Study","year":2021,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Tailings; Leaching (pedology); Cobalt; Nickel; Metallurgy; Environmental science; Mining engineering; Environmental chemistry; Geology; Chemistry; Materials science; Soil science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009150473,0.0007132888,0.0016812,0.0001791977,0.00009616437,0.0001127929,0.0002566517,0.0003743886,0.0006336449],"category_scores_gemma":[0.00006626945,0.0005722333,0.0002259259,0.0000654118,0.0002741531,0.0003306587,0.000332698,0.0005860919,0.00001026994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005162998,"about_ca_system_score_gemma":0.00006474656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058613,"about_ca_topic_score_gemma":0.0001639277,"domain_scores_codex":[0.9972896,0.000203249,0.001312048,0.0005139449,0.0003715985,0.0003095735],"domain_scores_gemma":[0.9982968,0.0002236337,0.000631333,0.0005841066,0.0001527178,0.0001114074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000297631,0.00009742517,0.000002817496,0.001181139,0.0009027605,0.0004883787,0.001942735,0.00007227458,0.9923214,0.0009717234,0.0002500846,0.001471631],"study_design_scores_gemma":[0.002133946,0.001506424,0.00003463124,0.0014078,0.002798642,0.01483073,0.01722847,0.0001588215,0.8966379,0.0008866324,0.06004905,0.002326917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807838,0.004122282,0.00002566201,0.00002944875,0.0006495073,0.000731561,0.0001886253,0.0001200832,0.01334898],"genre_scores_gemma":[0.9059485,0.0003107373,0.0003197067,0.00004180622,0.0002639064,0.00003909637,0.0001124647,0.0001490901,0.09281474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09568346,"threshold_uncertainty_score":0.9996729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511519937524354,"score_gpt":0.2313058502246699,"score_spread":0.2161906508494264,"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."}}