{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896466,0.0006411108,0.0004445068,0.0007052752,0.001253086,0.001360366,0.001005393,0.0006027346,0.001559472],"category_scores_gemma":[0.0008961393,0.0003448018,0.000299391,0.0004951325,0.0008622565,0.0006736437,0.00124847,0.0006169862,0.0006800306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408351,"about_ca_system_score_gemma":0.003941754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086634,"about_ca_topic_score_gemma":0.01439017,"domain_scores_codex":[0.9985968,0.0002528794,0.00003804013,0.0002193282,0.000706185,0.0001866678],"domain_scores_gemma":[0.9990421,0.0001149199,0.00008909387,0.000122129,0.000367271,0.0002645097],"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":[0.009185655,0.005787908,0.06584967,0.0008501749,0.0001140275,0.001824683,0.003332546,0.008151835,0.6129965,0.002636735,0.005197367,0.284073],"study_design_scores_gemma":[0.000811426,0.02982232,0.1314997,0.00009473517,0.0001162777,0.0006582871,0.002885771,0.006427372,0.7348527,0.0008631237,0.09183056,0.0001377839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742304,0.0005024259,0.008401438,0.0003942967,0.0000299359,0.0008087478,0.001715017,0.000610157,0.01330744],"genre_scores_gemma":[0.9513667,0.0006502849,0.03131098,0.0001140491,0.00001799596,0.000578735,0.004263356,0.0002106142,0.01148735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086634,"threshold_uncertainty_score":0.02160621,"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."}}