{"id":"W2023111155","doi":"10.1021/ie801753j","title":"Optimization and Management of Flotation Deinking Banks by Process Simulation","year":2009,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Deinking; Energy consumption; Process engineering; Stack (abstract data type); Single stage; Work (physics); Selectivity; Inkwell; Stage (stratigraphy); Waste management; Environmental science; Materials science; Chemistry; Engineering; Computer science; Mechanical engineering; Composite material; Electrical engineering; Geology","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":[0.0004283969,0.0004975226,0.0005468248,0.0002588111,0.0003497057,0.0007175847,0.0005910962,0.0006950443,0.001536901],"category_scores_gemma":[0.0008831518,0.0003806491,0.0003676756,0.0002306787,0.0002975225,0.0006630456,0.0003340253,0.0003960819,0.0001580557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008087545,"about_ca_system_score_gemma":0.001060038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004878169,"about_ca_topic_score_gemma":0.003908549,"domain_scores_codex":[0.9998913,0.00002590668,0.000005622304,0.00001880306,0.00002967574,0.00002867661],"domain_scores_gemma":[0.9996164,0.0002418214,0.00004654205,0.00002707945,0.00005068065,0.00001748681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005236717,0.00003401853,0.0005115545,0.00002818917,0.000006760635,0.00002625701,0.0000138375,0.989062,0.006460811,0.0003801652,0.00003567318,0.003388212],"study_design_scores_gemma":[0.00001407894,0.00003837877,0.0001384711,0.000002114209,0.000005399049,0.000004158436,0.000008169513,0.994778,0.004665188,0.0001781124,0.0001644625,0.000003307998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852138,0.0001997584,0.2089544,0.0001026294,0.00001777468,0.0001631972,0.0001691066,0.000456066,0.004723247],"genre_scores_gemma":[0.9722882,0.0001171398,0.02622444,0.00001230137,0.000002150819,0.0001225615,0.0000929761,0.00002705852,0.00111309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004878169,"threshold_uncertainty_score":0.009699523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117475900880732,"score_gpt":0.354138777591414,"score_spread":0.3029640185826067,"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."}}