{"id":"W2921130801","doi":"10.1016/j.fuel.2019.03.030","title":"A study of coal aggregation by standing-wave ultrasound","year":2019,"lang":"en","type":"article","venue":"Fuel","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities","keywords":"Coal; Standing wave; Ultrasonic sensor; Bubble; Cavitation; Materials science; Particle (ecology); Acoustic radiation force; Particle size; RADIUS; Ultrasound; Chemical engineering; Chemistry; Acoustics; Mechanics; Geology; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001000242,0.00004787775,0.0000685425,0.00001556825,0.00001936044,0.00001073526,0.00004980833,0.00002173042,0.003665853],"category_scores_gemma":[0.00001369692,0.0000432158,0.00001363547,0.00007838033,0.0000202587,0.0001090663,0.00001716147,0.00003053913,0.0002320191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003276009,"about_ca_system_score_gemma":0.000002220592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353789,"about_ca_topic_score_gemma":0.00008631287,"domain_scores_codex":[0.999473,0.00002933754,0.0001291361,0.0001136638,0.0001934848,0.00006137269],"domain_scores_gemma":[0.9997644,0.00002751119,0.00006654018,0.0001124417,0.000005652932,0.00002344235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005036952,0.0008304516,0.5069937,0.00001828738,0.00001800076,0.000001911106,0.01031246,0.0002669228,0.3775591,0.0004394632,0.1021386,0.001370811],"study_design_scores_gemma":[0.006419533,0.005111937,0.5151631,0.00005440493,0.00005830075,0.00002348942,0.0131295,0.003454644,0.3461711,0.004956642,0.1042401,0.001217276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972736,0.00000899587,0.0004359926,0.00001593056,0.00003780476,0.0002866584,0.000006209228,0.00003039107,0.026442],"genre_scores_gemma":[0.9952581,0.000006469897,0.0001693042,0.00006487535,0.000004969951,0.000009885741,0.00001189009,0.000004178806,0.00447036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03138801,"threshold_uncertainty_score":0.997245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684716207037028,"score_gpt":0.2551205773750768,"score_spread":0.2382734153047065,"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."}}