{"id":"W3002633684","doi":"10.1007/978-3-030-36540-0_71","title":"Ni Recovery from Nickeliferous Pyrrhotite Concentrates via a Thermal Concentration Process: Effects of Heat Treatment Time","year":2020,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pyrrhotite; Materials science; Metallurgy; Briquette; Oxidizing agent; Thermal treatment; Sulfide; Metal; Quenching (fluorescence); Phase (matter); Chemical engineering; Waste management; Composite material; Coal; 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":[0.0000778083,0.0001587989,0.000219704,0.0001219236,0.0002303527,0.000318271,0.0003057533,0.0001973336,0.001682317],"category_scores_gemma":[0.0000923954,0.0001394701,0.0001805396,0.0002091832,0.00009964257,0.0003611425,0.0001365532,0.0002910485,0.0006291059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631475,"about_ca_system_score_gemma":0.0001823628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762958,"about_ca_topic_score_gemma":0.005502434,"domain_scores_codex":[0.9999537,0.000003288749,0.000002715562,0.00001148411,0.00001917256,0.000009509605],"domain_scores_gemma":[0.9999779,0.000007163383,0.000002993607,0.000002553428,0.000007212141,0.000002113179],"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":[0.0001739709,0.00003472967,0.00009894929,0.00009694451,0.000005369598,0.00005202703,0.00003920328,0.0003402086,0.9880306,0.0001879971,0.0001973009,0.01074264],"study_design_scores_gemma":[0.000002956438,0.00009702404,0.0004580716,0.000003587612,0.000005546146,0.00003836345,0.00001538657,0.0004505209,0.9969056,0.00002510357,0.001995116,0.000002627305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654124,0.004384947,0.006534315,0.0001313247,0.00008024061,0.00005926844,0.0002954964,0.0001687971,0.02293332],"genre_scores_gemma":[0.9420223,0.002399417,0.004714868,0.00003502579,0.00001566796,0.00002456217,0.000339254,0.0000643183,0.0503846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001762958,"threshold_uncertainty_score":0.005627871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009218460314350602,"score_gpt":0.2155569815791924,"score_spread":0.2063385212648418,"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."}}