{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004718263,0.0004230523,0.0003922143,0.0003113721,0.000114453,0.00007524488,0.0001891974,0.0004066503,0.0005916594],"category_scores_gemma":[0.00002351391,0.0003192404,0.0001330842,0.00008274058,0.00006112149,0.0001372411,0.000101315,0.001133751,0.0004305922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985224,"about_ca_system_score_gemma":0.0000246531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231189,"about_ca_topic_score_gemma":0.01403428,"domain_scores_codex":[0.9982715,0.00002087521,0.0006567786,0.0004206397,0.0002807919,0.0003494472],"domain_scores_gemma":[0.9991807,0.0002003576,0.000101108,0.000429016,0.00001430552,0.0000745349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002856412,0.0005502008,0.001930647,0.004000122,0.0007887299,0.001025759,0.00354596,0.01752363,0.02429285,0.4118481,0.4077209,0.1264875],"study_design_scores_gemma":[0.0005211466,0.00006050463,0.002307563,0.0002218501,0.00003970072,0.00003011272,0.0002785533,0.007497104,0.00004961356,0.0004061329,0.9879759,0.0006118128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01008097,0.001386596,0.00004928069,0.00102644,0.001718137,0.0009451474,0.00008917558,0.0004984301,0.9842058],"genre_scores_gemma":[0.02634299,0.004036262,0.00008593386,0.0005622567,0.000159643,0.00007809367,0.00009822667,0.0001191635,0.9685174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.580255,"threshold_uncertainty_score":0.999926,"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."}}