{"id":"W3112182015","doi":"10.3389/fbioe.2020.615134","title":"Synergistic Effects of Catalyst Mixtures on Biomass Catalytic Pyrolysis","year":2020,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Institute of Science and Technology; Ministry of Higher Education, Egypt","keywords":"Catalysis; Chemistry; Pyrolysis; Biochar; Activation energy; Phenol; Nuclear chemistry; Chemical engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.00002712558,0.0001977808,0.0003381414,0.000334516,0.00001294724,0.000006756921,0.0002177422,0.0003087555,0.000001605447],"category_scores_gemma":[0.0001478849,0.0001904513,0.00004062201,0.0006176522,0.0001280956,0.00003381642,0.00005249902,0.0002023055,0.000003436627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003588423,"about_ca_system_score_gemma":0.000005575513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008827782,"about_ca_topic_score_gemma":4.314631e-7,"domain_scores_codex":[0.9992292,0.000005264637,0.0002040666,0.0002441053,0.00008071818,0.0002366665],"domain_scores_gemma":[0.999658,0.00005285831,0.00002753136,0.0001754552,0.000009277459,0.00007686525],"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":[0.00001572013,0.00001337512,0.0002428716,0.0009980185,0.00007864366,0.00002867688,0.00005935128,0.0003535832,0.9908639,0.00007875125,0.00113157,0.006135589],"study_design_scores_gemma":[0.0003034123,0.00008406955,0.00006621504,0.00007513712,0.0000268051,0.000001738629,0.00003339285,0.007768699,0.9909563,0.0000483848,0.0004430582,0.0001927924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776426,0.005925575,0.01446462,0.0007042065,0.0004575441,0.0001328962,0.00001751803,0.0006189707,0.00003604257],"genre_scores_gemma":[0.9981095,0.0003003271,0.001490679,0.0000290727,0.00002025086,0.000009723979,0.000009818578,0.00002664719,0.000004027228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02046683,"threshold_uncertainty_score":0.7766379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003545241561762788,"score_gpt":0.1677573962736572,"score_spread":0.1642121547118945,"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."}}