{"id":"W2516096234","doi":"10.1002/cjce.22641","title":"Air‐blown bubbling fluidized bed co‐gasification of woody biomass and refuse derived fuel","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Ottawa","funders":"","keywords":"Pellets; Refuse-derived fuel; Heat of combustion; tar (computing); Fluidized bed; Equivalence ratio; Pellet; Waste management; Wood gas generator; Naphthalene; Combustion; Biomass (ecology); Materials science; Chemistry; Pulp and paper industry; Municipal solid waste; Composite material; Organic chemistry; Coal; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002158316,0.0001582888,0.0002505811,0.0001800753,0.00002651643,0.00001833352,0.0003076054,0.0001174706,0.00003590883],"category_scores_gemma":[0.0003399339,0.0001073604,0.00007215131,0.0002063228,0.0001101985,0.0001452808,0.00001355251,0.0001634375,0.000003297097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566383,"about_ca_system_score_gemma":0.0001091063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005462652,"about_ca_topic_score_gemma":0.00001091622,"domain_scores_codex":[0.9990648,0.00001033478,0.0004012691,0.00009618705,0.0001607596,0.0002666393],"domain_scores_gemma":[0.9990332,0.0001893795,0.00009844806,0.0001719693,0.0001306066,0.0003764416],"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":[0.0000130995,0.000002650935,0.0000795278,0.0001058144,0.00006086895,0.000005966765,0.0001367589,0.00002809413,0.9987417,0.00006734191,0.0000832744,0.0006748934],"study_design_scores_gemma":[0.0005800871,0.00001264642,0.00005774432,0.000175101,0.00003074363,0.00005678114,0.00001253388,0.0001769453,0.9982935,0.0001119905,0.0003507868,0.0001412049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975618,0.001336544,0.0003244377,0.0005060116,0.0001324814,0.0000592687,0.00001281666,0.00004015882,0.00002649789],"genre_scores_gemma":[0.9992676,0.00004120904,0.0005506938,0.00001681295,0.00008384921,0.000002231279,0.000001427488,0.00003326245,0.000002862124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001705868,"threshold_uncertainty_score":0.437803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008272491862104901,"score_gpt":0.184664711118029,"score_spread":0.1763922192559241,"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."}}