{"id":"W4320496163","doi":"10.3390/min13020254","title":"Investigation of Particle Motion in a Dry Separation Fluidized Bed Using PEPT","year":2023,"lang":"en","type":"article","venue":"Minerals","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Fluidized bed; Particle (ecology); Tracking (education); Magnetosphere particle motion; Materials science; Mechanics; Fluidization; Particle size; Mineralogy; Process engineering; Chemical engineering; Chemistry; Waste management; Physics; Geology; Engineering","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":[0.0001763393,0.0002020922,0.0002331561,0.0002306969,0.0001742043,0.0002344515,0.0002148207,0.0002833099,0.0004327381],"category_scores_gemma":[0.0002320793,0.0001172942,0.0001259281,0.000195807,0.0002525438,0.0003063143,0.0001435347,0.0003066968,0.0001111691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914768,"about_ca_system_score_gemma":0.0001429253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000892253,"about_ca_topic_score_gemma":0.000645116,"domain_scores_codex":[0.9999211,0.000008043018,0.000004375934,0.00002496614,0.00002922858,0.00001224792],"domain_scores_gemma":[0.999904,0.00004043874,0.00001818679,0.000007323134,0.00002114616,0.000008841366],"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":[0.000109867,0.00003910441,0.001092621,0.00005306416,0.000005446708,0.0001004929,0.00005857662,0.00125528,0.9928063,0.0002112056,0.00003616436,0.004231921],"study_design_scores_gemma":[0.00002097214,0.0004171178,0.006845975,0.000006580109,0.00001341389,0.0001046279,0.00007527068,0.04691853,0.9446149,0.00008941292,0.0008770781,0.00001617098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831828,0.0003006973,0.01576759,0.00004050476,0.00001867728,0.00002348592,0.00007751128,0.00006643619,0.0005223797],"genre_scores_gemma":[0.9863439,0.0003351671,0.01233399,0.00001968254,0.000005438093,0.00002092342,0.0001030228,0.000009499475,0.000828359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000892253,"threshold_uncertainty_score":0.001774192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901319365882509,"score_gpt":0.2657171261063882,"score_spread":0.2267039324475631,"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."}}