{"id":"W3132035177","doi":"10.1002/cjce.24083","title":"Sewage sludge ashes as a primary catalyst for the abatement of tar in biomass gasification: Bubbling versus spouted‐fluidized bed configuration","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluidized bed; tar (computing); Syngas; Elutriation; Waste management; Nozzle; Fluidization; Sewage sludge; Char; Volumetric flow rate; Materials science; Chemistry; Environmental engineering; Environmental science; Catalysis; Sewage treatment; Coal; Mechanics; Thermodynamics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671212,0.0005347415,0.0005228324,0.000418475,0.0002243607,0.000487915,0.0005126364,0.0004125277,0.0007473254],"category_scores_gemma":[0.0001794751,0.0002058327,0.0003454603,0.000253008,0.0002935981,0.0002903792,0.0002532481,0.0003615966,0.0003076457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467184,"about_ca_system_score_gemma":0.000195418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414749,"about_ca_topic_score_gemma":0.001934242,"domain_scores_codex":[0.9998001,0.00004384851,0.00002256732,0.0000439822,0.00005484055,0.00003472616],"domain_scores_gemma":[0.999913,0.00001784713,0.00001501736,0.00001114405,0.00002056776,0.00002241893],"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":[0.0006110638,0.0001346712,0.0004380754,0.0001018489,0.00001305062,0.00006207356,0.00002665098,0.0005054176,0.9951136,0.00005568553,0.00001755127,0.002920355],"study_design_scores_gemma":[0.00002177929,0.0007390645,0.001717396,0.000003487273,0.00001954832,0.0000467527,0.00002478817,0.001239675,0.9958228,0.00001007311,0.0003478173,0.000006861046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984838,0.0002600814,0.0008386129,0.000009347484,0.000009564317,0.00001420252,0.00005596837,0.00004330654,0.0002851183],"genre_scores_gemma":[0.9978892,0.0001960127,0.001298877,0.000004302873,0.000002661309,0.000008139893,0.00007316645,0.000007569363,0.0005201107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414749,"threshold_uncertainty_score":0.002813101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465413024611586,"score_gpt":0.2096871688868627,"score_spread":0.1950330386407468,"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."}}