{"id":"W4387789095","doi":"10.1007/978-3-031-38141-6_15","title":"Improvement in Nickel, Cobalt, Iron, and Arsenic Extractions in the First-Stage Autoclaves at Copper Cliff Nickel Refinery","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vale (Canada)","funders":"","keywords":"Arsenic; Nickel; Metallurgy; Cobalt; Refinery; Autoclave; Residue (chemistry); Copper; Materials science; Chemistry","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":[0.0002719694,0.0004768101,0.0003377483,0.0006066464,0.0005587227,0.0006081942,0.000842113,0.0004840839,0.00569437],"category_scores_gemma":[0.0002380485,0.0003115667,0.0003408548,0.0007839238,0.000231249,0.0007502732,0.0003271059,0.0007958455,0.002785987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000972046,"about_ca_system_score_gemma":0.001108759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007908234,"about_ca_topic_score_gemma":0.03009963,"domain_scores_codex":[0.9997045,0.00002543936,0.00001122942,0.00003880012,0.0001955889,0.00002447377],"domain_scores_gemma":[0.9998555,0.0000273302,0.000007058526,0.00001648649,0.00008754858,0.000006056023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001235386,0.0001920631,0.001189417,0.0008134917,0.00001225382,0.0003610974,0.0005036184,0.002692199,0.1832873,0.01368063,0.03495749,0.7621869],"study_design_scores_gemma":[0.000009779201,0.0002549014,0.005751407,0.0001497181,0.00002376669,0.0008830552,0.0001959916,0.003530234,0.2939093,0.003767244,0.6914896,0.0000350486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1563761,0.0477454,0.1755491,0.003416236,0.001726916,0.0004879195,0.001115554,0.004866019,0.6087168],"genre_scores_gemma":[0.1117244,0.01855366,0.08656961,0.0004748703,0.0001465187,0.00006963519,0.001111607,0.000792384,0.7805573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007908234,"threshold_uncertainty_score":0.01904953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952143840428909,"score_gpt":0.2467276898503919,"score_spread":0.2172062514461028,"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."}}