{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037737,0.0004596265,0.0004632019,0.001051158,0.0003432624,0.0005230458,0.0004864816,0.0009413469,0.0007187411],"category_scores_gemma":[0.0009143645,0.0003626856,0.0002527929,0.0005484722,0.0002505936,0.0008688093,0.0002532042,0.0003321591,0.0002742838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471861,"about_ca_system_score_gemma":0.0002754624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003181148,"about_ca_topic_score_gemma":0.004142988,"domain_scores_codex":[0.9998515,0.00001794013,0.000008749995,0.00004413813,0.00005802533,0.00001970176],"domain_scores_gemma":[0.9993723,0.0003245518,0.00007856619,0.00002788692,0.0001685621,0.0000281455],"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":[0.0008196689,0.0001735932,0.02575301,0.0002077274,0.00004996241,0.0001157892,0.0001567292,0.01252514,0.7517091,0.0003902566,0.0003382899,0.2077607],"study_design_scores_gemma":[0.00002084242,0.0003172489,0.04206008,0.00001825765,0.00008803301,0.0001718634,0.0001315125,0.3893972,0.5667461,0.0002657327,0.0007430889,0.00004016635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575745,0.0008113805,0.2393314,0.00007320847,0.00003011983,0.00004002769,0.0001302506,0.0007382478,0.001270742],"genre_scores_gemma":[0.9397982,0.0002610742,0.05874649,0.00001819111,0.00001586902,0.00002306521,0.00008891433,0.00004738092,0.001000707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003181148,"threshold_uncertainty_score":0.006325305,"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."}}