{"id":"W2902721922","doi":"10.1002/cjce.23417","title":"A comparison between CO<sub>2</sub> gasification of various biomass chars and coal char","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Char; Pyrolysis; Coal; Syngas; Biomass (ecology); Thermogravimetric analysis; Waste management; Yield (engineering); Sewage sludge; Chemical engineering; Chemistry; Pulp and paper industry; Materials science; Organic chemistry; Metallurgy; Catalysis; Geology; Sewage treatment","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":[0.0002248333,0.0003479147,0.0002607194,0.0003052968,0.0001594272,0.0002318491,0.0001322751,0.0002124824,0.0007676047],"category_scores_gemma":[0.0002732133,0.0001279083,0.0002650958,0.0002885316,0.0001841635,0.0002552691,0.0001331306,0.0001506961,0.0001825315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013717,"about_ca_system_score_gemma":0.0002221548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024381,"about_ca_topic_score_gemma":0.002135707,"domain_scores_codex":[0.9998608,0.00002546244,0.000007757809,0.00002386087,0.00005406997,0.00002801659],"domain_scores_gemma":[0.9998643,0.0000417291,0.00002246812,0.00001176794,0.00004121251,0.00001835208],"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":[0.0003150673,0.00001491248,0.001394782,0.00007482021,0.00001662529,0.00004065779,0.00001817261,0.0005093561,0.9945257,0.00004299686,0.00001605623,0.003030934],"study_design_scores_gemma":[0.000002581982,0.000128592,0.005974163,0.000001923548,0.00001660575,0.0000450366,0.00002167263,0.001281603,0.992228,0.00002033361,0.0002764293,0.000003009218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960929,0.0005213536,0.002632729,0.00001434743,0.00001575709,0.00001004721,0.0000960848,0.00003468794,0.00058203],"genre_scores_gemma":[0.997752,0.0002590238,0.001349914,0.000006608842,0.000001960764,0.000004629066,0.0001297992,0.00001601824,0.000480032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001024381,"threshold_uncertainty_score":0.002567947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268520384388058,"score_gpt":0.2119709719257493,"score_spread":0.1992857680818687,"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."}}