{"id":"W4379745833","doi":"10.1007/s41660-023-00342-x","title":"Graphical Representation of Chemical Reactions and Heat Cascade Analysis of Biomass Residue Syngasification to Produce Hydrogen","year":2023,"lang":"en","type":"article","venue":"Process Integration and Optimization for Sustainability","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Bagasse; Hydrogen; Cascade; Hydrogen production; Biomass (ecology); Chemistry; Process engineering; Heat of combustion; Chemical reaction; Chemical industry; Environmental science; Thermodynamics; Pulp and paper industry; Organic chemistry; Engineering; Agronomy; Combustion; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002591316,0.0001130372,0.0002445023,0.0005241924,0.0000483928,0.00001768126,0.00007321106,0.0001079939,0.000009717824],"category_scores_gemma":[0.001470135,0.0001102868,0.00005864309,0.002930115,0.00009981217,0.0001845957,0.00002141093,0.00005335237,1.371084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005944569,"about_ca_system_score_gemma":0.00003411403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002846376,"about_ca_topic_score_gemma":0.000007091665,"domain_scores_codex":[0.9989815,0.00002609344,0.0004229425,0.0002999839,0.000147214,0.0001222396],"domain_scores_gemma":[0.9986695,0.000158864,0.00007268988,0.0001785151,0.00084497,0.00007548111],"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":[0.0003386449,0.0001415502,0.007940237,0.003441742,0.0004046275,3.284708e-7,0.003494822,0.2118598,0.7650196,0.001848963,0.0001112782,0.005398377],"study_design_scores_gemma":[0.000120469,0.00002172997,0.0006072792,0.00001224685,0.0001299905,4.504751e-7,0.001041997,0.346434,0.6502748,0.001272824,0.000005169525,0.00007901222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322721,0.00004521708,0.06624448,0.0006111806,0.00001997224,0.000593083,0.00004073931,0.0001520999,0.00002110047],"genre_scores_gemma":[0.997827,0.00004038179,0.001694143,0.00000624199,0.000007333124,0.0001557612,0.0002446637,0.00001274698,0.00001171037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345741,"threshold_uncertainty_score":0.4497367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202062773441118,"score_gpt":0.2826846757160005,"score_spread":0.2706640479815894,"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."}}