{"id":"W4385271489","doi":"10.1007/s11663-023-02872-8","title":"Preparation of High Nickel Grade Ferronickel From Nickel Sulfide Concentrate with Minimal Sulfur Dioxide Emission","year":2023,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ferroalloy; Nickel; Sulfide; Materials science; Sulfur; Metallurgy; Nickel sulfide; Pyrometallurgy; Extraction (chemistry); Raw material; Inorganic chemistry; Chemistry; Smelting","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":[0.00010959,0.0002112896,0.0002601626,0.0002467706,0.0002598042,0.0002305206,0.0002179281,0.0002011988,0.001118004],"category_scores_gemma":[0.0001034684,0.0001055889,0.0001285588,0.0001696252,0.0001172684,0.0001581794,0.0001825524,0.0002305014,0.0005334587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207783,"about_ca_system_score_gemma":0.0002647374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008449313,"about_ca_topic_score_gemma":0.003596175,"domain_scores_codex":[0.9999217,0.000006306399,0.000005360978,0.0000195129,0.0000321148,0.00001505463],"domain_scores_gemma":[0.9999596,0.000006261003,0.000006512847,0.000004673448,0.00001502974,0.000007876496],"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":[0.00003222196,0.00001094951,0.00006098841,0.00003584134,0.000003154123,0.00008172772,0.00001825509,0.00005786333,0.9981437,0.00007873918,0.00006207747,0.001414352],"study_design_scores_gemma":[0.000004765328,0.00005509602,0.000250955,0.000001766556,0.000003744443,0.00004655622,0.00001308185,0.0001551914,0.997764,0.00001483735,0.001688291,0.000001766765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785891,0.0003722619,0.01386604,0.0001248961,0.00004187,0.0001036601,0.0003829929,0.0001672892,0.00635183],"genre_scores_gemma":[0.9723388,0.0004766893,0.01337304,0.00003891004,0.00001907715,0.00005095105,0.0008897044,0.00008256247,0.01273029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001118004,"threshold_uncertainty_score":0.003740072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672001010325735,"score_gpt":0.247565474874337,"score_spread":0.2308454647710797,"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."}}