{"id":"W4416114736","doi":"10.1039/d5se01324k","title":"Machine learning prediction on adsorption capacities of steam methane reforming off-gas in silica gels","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Steam reforming; Adsorption; Methane; Artificial neural network; Methane reformer","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":[0.0004135015,0.000198382,0.0003155735,0.0006167375,0.00005986663,0.00001772076,0.0001237948,0.0001609338,0.0000359185],"category_scores_gemma":[0.00009488762,0.0002029481,0.0000771235,0.0005665311,0.00004394324,0.0002131225,0.00003538894,0.0002809323,0.000003330281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004559268,"about_ca_system_score_gemma":0.00005870561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127022,"about_ca_topic_score_gemma":0.0001092792,"domain_scores_codex":[0.9986299,0.00009632455,0.0004629785,0.0002127466,0.000203871,0.0003942213],"domain_scores_gemma":[0.99945,0.0000741037,0.00007985991,0.0002303713,0.0001184792,0.00004718969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001660432,0.00009103772,0.001544122,0.001360694,0.0001290094,0.00002543436,0.001815298,0.822364,0.06567981,0.07492906,0.0001758185,0.03171973],"study_design_scores_gemma":[0.003672236,0.0006790441,0.001285082,0.001606658,0.0001064646,0.0000225921,0.04958653,0.1844973,0.4628914,0.01089348,0.2836908,0.001068407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663653,0.002850396,0.0026904,0.00003968478,0.0003469989,0.0001668504,0.000007327201,0.0003707249,0.02716229],"genre_scores_gemma":[0.9788992,0.0005219071,0.00001933953,0.00003666785,0.0000740436,0.00007201915,0.00003116115,0.00003145907,0.02031423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6378667,"threshold_uncertainty_score":0.8275982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005260289379532689,"score_gpt":0.203219972858456,"score_spread":0.1979596834789233,"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."}}