{"id":"W2082185341","doi":"10.1002/aic.14337","title":"Distribution of large biomass particles in a sand‐biomass fluidized bed: Experiments and modeling","year":2013,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Fluidization; Biomass (ecology); TRACER; Fluidized bed; Pressure drop; Particle (ecology); Volume (thermodynamics); Mixing (physics); Fraction (chemistry); Environmental science; Mechanics; Chemistry; Geology; Chromatography; Thermodynamics; Nuclear physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002701528,0.000115854,0.0001905212,0.0000778155,0.00005344012,0.00004905803,0.00007850393,0.00007926277,0.00004492188],"category_scores_gemma":[0.00002295494,0.0001023851,0.00005166547,0.0001374781,0.00001845996,0.0002532623,0.00002634878,0.0001372457,0.00000942834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004302689,"about_ca_system_score_gemma":0.00001077467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005748256,"about_ca_topic_score_gemma":0.000003976359,"domain_scores_codex":[0.9991005,0.00003794642,0.0003491137,0.00008556109,0.0001452307,0.000281662],"domain_scores_gemma":[0.9997017,0.00001654247,0.00003253,0.00009348452,0.00004815794,0.0001075575],"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":[0.00001360037,0.00004646535,0.005868572,0.00002721885,0.00003507556,0.000006115679,0.0003674524,0.00007367771,0.9924624,0.00003621486,0.0002653664,0.0007978246],"study_design_scores_gemma":[0.002285742,0.00003635701,0.002077489,0.00006837996,0.00002016562,0.0000398142,0.0002548091,0.2318377,0.7624729,0.0006650155,0.00007558108,0.0001661289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845098,0.002834373,0.01232348,0.00005835002,0.0001157841,0.00009338859,0.000008601965,0.00003078649,0.00002546758],"genre_scores_gemma":[0.9992304,0.0001827895,0.0005007186,0.000008920902,0.00004250022,0.000009654354,0.000008600443,0.00001524237,0.000001108613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.231764,"threshold_uncertainty_score":0.4175144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636963823969935,"score_gpt":0.2466321223757369,"score_spread":0.2302624841360375,"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."}}