{"id":"W2749862026","doi":"10.4028/www.scientific.net/ssp.262.28","title":"The MONDO Minerals Nickel Sulfide Bioleach Project: From Test Work to Early Plant Operation","year":2017,"lang":"en","type":"article","venue":"Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"Mintek","keywords":"Pentlandite; Pyrrhotite; Nickel; Cobalt; Talc; Metallurgy; Magnesite; Materials science; Sulfide; Pyrite; Sulfide minerals; Process engineering; Waste management; Environmental science; Engineering","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","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002353099,0.00150889,0.001521716,0.0004229237,0.003185233,0.004293991,0.004144358,0.0001925504,0.00009305392],"category_scores_gemma":[0.0006408197,0.001171478,0.0001892525,0.0004770551,0.0004061716,0.002986106,0.00385985,0.001206486,0.0006848086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338755,"about_ca_system_score_gemma":0.0001873728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052154,"about_ca_topic_score_gemma":0.002676968,"domain_scores_codex":[0.9914733,0.0004523739,0.002159042,0.002524957,0.001112468,0.002277867],"domain_scores_gemma":[0.9903186,0.0008998929,0.0007466475,0.0066822,0.0002052928,0.001147355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00606854,0.003498281,0.01733482,0.001106753,0.005271609,0.0006161339,0.0386342,0.02393037,0.1617689,0.0003224002,0.3986891,0.342759],"study_design_scores_gemma":[0.006370605,0.0008223119,0.01375668,0.0006156244,0.0004173861,0.00004150667,0.00231325,0.1198863,0.003088552,0.001190893,0.8469203,0.0045766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701084,0.002231353,0.005256504,0.0007680511,0.003345411,0.003574877,0.1103623,0.0009495643,0.003403528],"genre_scores_gemma":[0.9105472,0.02398351,0.001525604,0.001032789,0.001956958,0.0004608284,0.05476374,0.0005793288,0.005150024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4482313,"threshold_uncertainty_score":0.999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190719413207524,"score_gpt":0.3046905204935914,"score_spread":0.2527833263615161,"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."}}