{"id":"W4293211597","doi":"10.1002/cjce.24616","title":"Modelling fast pyrolysis of biomass in a fluidized bed reactor","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elutriation; Char; Fluidized bed; Pyrolysis; Biomass (ecology); tar (computing); Chemical engineering; Waste management; Chemistry; Fluidization; Particle (ecology); Environmental science; Geology; Engineering; Organic chemistry; Computer science","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":[0.0003848046,0.0008001248,0.001245464,0.0003911762,0.0007185349,0.001932692,0.001347438,0.001963675,0.002200623],"category_scores_gemma":[0.0006328253,0.0006042047,0.001157438,0.0004202626,0.0009621763,0.00074027,0.0006894022,0.0008096694,0.0003170532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728112,"about_ca_system_score_gemma":0.00155453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03130942,"about_ca_topic_score_gemma":0.008982482,"domain_scores_codex":[0.9998067,0.00005772007,0.000009593132,0.00004024917,0.00004526932,0.00004048878],"domain_scores_gemma":[0.999694,0.000188713,0.00002934006,0.00001607157,0.00004522599,0.00002672248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003366965,0.00001612686,0.0001678143,0.0000212916,0.000009210181,0.0000387914,0.0000125202,0.9969515,0.00160916,0.0008182308,0.00002070165,0.0003010056],"study_design_scores_gemma":[0.00001159609,0.00001592883,0.00009454605,0.000002461145,0.000004056944,0.000005432023,0.000006705901,0.9990532,0.0004411185,0.000228718,0.0001321545,0.000004127814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7433805,0.0009341182,0.2316349,0.0004060622,0.0001245607,0.0002510247,0.001000658,0.0003922557,0.02187579],"genre_scores_gemma":[0.9846795,0.0003594749,0.007344916,0.00003316813,0.00001196439,0.0002094374,0.000227288,0.00003323979,0.007100961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03130942,"threshold_uncertainty_score":0.06225437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008402361061098899,"score_gpt":0.1687303578363898,"score_spread":0.1603279967752909,"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."}}