{"id":"W2483002354","doi":"10.1016/j.cej.2016.07.058","title":"Solids flux measurements via alternate techniques in a gas-fluidized bed","year":2016,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Fluidization; Flux (metallurgy); Tracking (education); Particle (ecology); Fluidized bed; Mass flux; Mechanics; Particle image velocimetry; Momentum (technical analysis); Materials science; Particle tracking velocimetry; Nuclear engineering; Physics; Thermodynamics; Engineering; Turbulence; Geology","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":[0.0008138291,0.0005187916,0.0008373054,0.0009581042,0.0009728956,0.001021645,0.0009238133,0.001174657,0.000857461],"category_scores_gemma":[0.001042916,0.0005320231,0.0003025935,0.0007793679,0.001312071,0.001275067,0.0009021466,0.0009985665,0.0003092707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401159,"about_ca_system_score_gemma":0.0006244571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053671,"about_ca_topic_score_gemma":0.002760061,"domain_scores_codex":[0.9990067,0.0001833397,0.00005040346,0.0002064643,0.0004439574,0.0001091502],"domain_scores_gemma":[0.999353,0.0002581459,0.00008018669,0.00006534568,0.0001882452,0.00005505787],"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":[0.001077105,0.0001041926,0.001811281,0.00008435774,0.00001548222,0.00007718595,0.0001206445,0.0003841684,0.9907302,0.0002846102,0.0001108248,0.005199973],"study_design_scores_gemma":[0.0001146872,0.0005547567,0.00390841,0.000008291307,0.00002995026,0.0001132491,0.000110903,0.01129516,0.9829234,0.0001546931,0.0007544445,0.00003186967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742663,0.000432243,0.02325243,0.0001559637,0.0001051231,0.00006044465,0.0003188746,0.000228869,0.0011798],"genre_scores_gemma":[0.9755877,0.0004032887,0.02233714,0.00007749556,0.00005390728,0.00006493287,0.0001956688,0.00003667938,0.00124311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002053671,"threshold_uncertainty_score":0.004644334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134030168120637,"score_gpt":0.2069568756491623,"score_spread":0.195616573967956,"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."}}