{"id":"W2061901420","doi":"10.1016/j.mineng.2007.12.011","title":"Froth-based modeling and control of flotation processes","year":2008,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Froth flotation; Variance (accounting); Fraction (chemistry); Regression analysis; Multivariate statistics; Process (computing); Control variable; Regression; Computer science; Statistics; State variable; Control (management); Mathematics; Control theory (sociology); Artificial intelligence; Chemistry; Chromatography; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006219414,0.00007447613,0.0001018693,0.00004107159,0.00003075696,0.000005495275,0.00004128416,0.0000270126,0.00009244676],"category_scores_gemma":[0.000073483,0.00007166725,0.00001338667,0.0001452096,0.00002203133,0.0001285145,0.000007699206,0.00003132677,0.00000506036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001148401,"about_ca_system_score_gemma":0.00000748174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006551512,"about_ca_topic_score_gemma":0.000008771937,"domain_scores_codex":[0.9995214,0.000007185206,0.0001648648,0.0001077355,0.0001153597,0.00008348225],"domain_scores_gemma":[0.9998193,0.00002775733,0.00003278565,0.00006308708,0.00002103964,0.00003602223],"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":[0.000004664008,0.0000107057,0.001520844,0.00002397818,0.000001944828,8.166824e-7,0.0001707205,0.5086213,0.489356,0.00003976906,0.0001530323,0.0000962759],"study_design_scores_gemma":[0.0002621361,0.00002290355,0.0006063373,0.00001191544,0.000003231581,0.000003013857,0.000003344983,0.9036385,0.09485193,0.00001218989,0.0005002864,0.00008419072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6933004,0.00006691939,0.3060361,0.00005174417,0.0000115006,0.00009511744,0.000002198745,0.00006796648,0.0003681213],"genre_scores_gemma":[0.9903252,0.00002456655,0.009361942,0.00007808697,0.00001285991,0.00002646301,0.000005029008,0.000008836844,0.0001570228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950172,"threshold_uncertainty_score":0.2922506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229339380376272,"score_gpt":0.2059703595715685,"score_spread":0.1936769657678057,"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."}}