{"id":"W4281672992","doi":"10.1002/cjce.24482","title":"Thermodynamic modelling of hydrogen production in sorbent‐enhanced biochar‐direct chemical looping process","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rick Hansen Foundation; BC Research (Canada); BC Innovation Council; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Carbon Management Canada","keywords":"Biochar; Syngas; Chemical looping combustion; Hydrogen production; Sorbent; Chemical engineering; Chemistry; Endothermic process; Calcium oxide; Carbonation; Hydrogen; Materials science; Waste management; Adsorption; Oxygen; Pyrolysis; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003174515,0.0002047162,0.0003666587,0.0002048546,0.00005132174,0.00001583323,0.0005151173,0.00008444696,0.00004361484],"category_scores_gemma":[0.0001522344,0.000188406,0.0001226823,0.0005805429,0.00005094239,0.00009744192,0.00003017867,0.0008184937,9.438229e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007075887,"about_ca_system_score_gemma":0.0001912988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002273351,"about_ca_topic_score_gemma":0.00001444172,"domain_scores_codex":[0.9985519,0.00001477406,0.0005652879,0.0001611827,0.0002998334,0.0004069969],"domain_scores_gemma":[0.9993346,0.00007370664,0.0001188318,0.0001796193,0.00008508643,0.0002081423],"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":[0.000009866693,0.000008510871,0.000005292648,0.0001201736,0.00002739572,0.000003850055,0.000309118,0.4857481,0.5135671,0.00001038132,0.000007712344,0.0001824583],"study_design_scores_gemma":[0.0001962612,0.00001005055,6.232294e-7,0.0001765929,0.00001960186,0.00005720783,0.00003398996,0.1591796,0.8396245,0.0005036843,0.00001908622,0.0001788032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971622,0.001651955,0.0004863853,0.0001694847,0.0002044719,0.0001088486,0.000007831272,0.00004548006,0.00016337],"genre_scores_gemma":[0.9996272,0.000009232857,0.0001154967,0.0000149423,0.0001501315,0.00001713531,0.000005383486,0.00005511333,0.000005387256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3265685,"threshold_uncertainty_score":0.7682976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0093528405192163,"score_gpt":0.1825986704465371,"score_spread":0.1732458299273208,"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."}}