{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000292931,0.0004151665,0.0004603447,0.0004880478,0.0002628538,0.0003090532,0.000325677,0.000259201,0.0008366243],"category_scores_gemma":[0.0001920276,0.0001366714,0.000312645,0.0002637589,0.0002189167,0.0003231372,0.000177045,0.0002685471,0.0002181792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322098,"about_ca_system_score_gemma":0.0003181784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006070769,"about_ca_topic_score_gemma":0.01097738,"domain_scores_codex":[0.9997973,0.00003466011,0.000009490162,0.00003544451,0.00007445778,0.00004859869],"domain_scores_gemma":[0.9999318,0.00001873923,0.00001266793,0.000003799584,0.00001966775,0.00001332107],"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":[0.000550025,0.00004627496,0.001097454,0.0001071918,0.0000173197,0.0001617038,0.00004765236,0.0007290199,0.9936382,0.00008961991,0.00003233478,0.003483322],"study_design_scores_gemma":[0.00001572023,0.0003353846,0.007335568,0.000007642507,0.00001275563,0.00007490074,0.00004737231,0.002833429,0.9886392,0.00002633515,0.0006647814,0.00000693257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985108,0.0002867606,0.000453492,0.000006740155,0.000007486972,0.00000877508,0.00006512315,0.00001239031,0.0006483268],"genre_scores_gemma":[0.9981549,0.0001772196,0.0007526915,0.000006416272,0.000002866223,0.000005629206,0.0001252804,0.000008540931,0.0007663814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006070769,"threshold_uncertainty_score":0.01207083,"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."}}