{"id":"W2485122433","doi":"10.1016/j.mineng.2016.07.005","title":"Gas holdup estimation in flotation machines using image techniques and superficial gas velocity","year":2016,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; McGill University","keywords":"Bubble; Industrial gas; Superficial velocity; Dispersion (optics); Fraction (chemistry); Mechanics; Environmental science; Process engineering; Simulation; Engineering; Mechanical engineering; Chemistry; Chromatography; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002156856,0.0001427036,0.0001314835,0.0001176388,0.00004233301,0.00003678331,0.00006693461,0.00006063283,0.0001922982],"category_scores_gemma":[0.0000902087,0.0001166838,0.00001959885,0.0002160143,0.00003927599,0.0005478782,0.00004472586,0.00005689384,0.00001572182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046146,"about_ca_system_score_gemma":0.000004803081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003145274,"about_ca_topic_score_gemma":0.00008286645,"domain_scores_codex":[0.9991899,0.00002621156,0.0002497866,0.000215418,0.0001439802,0.0001747053],"domain_scores_gemma":[0.9997527,0.00003822558,0.00004295434,0.000102483,0.0000125749,0.00005105833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005572251,0.00001253378,0.001402566,0.000008856581,0.000001387332,0.000004413195,0.0001641551,0.001917121,0.9719499,0.0001948083,0.0002344164,0.02410431],"study_design_scores_gemma":[0.0003210764,0.00003811801,0.005180413,0.00007457716,0.000005561591,0.00002447666,0.000006416776,0.5499158,0.4422947,0.0003458982,0.001495912,0.0002970775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520807,0.00001914961,0.04662248,0.0002708143,0.00003566892,0.0001898068,0.000004314278,0.0001969048,0.0005801082],"genre_scores_gemma":[0.9067985,0.00005152493,0.09274852,0.00004121356,0.00005215679,0.00004044055,0.000008802252,0.00002296456,0.0002359294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479987,"threshold_uncertainty_score":0.4758228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050951000133209,"score_gpt":0.247304438055484,"score_spread":0.2367949280541519,"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."}}