{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149345,0.0004880343,0.0002956131,0.0004060966,0.0001084566,0.000189426,0.0002905265,0.0003933994,0.0006202038],"category_scores_gemma":[0.0007237318,0.0001605042,0.0003983496,0.0002601505,0.0001976294,0.0003423202,0.0001700309,0.0004588202,0.0001875843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640314,"about_ca_system_score_gemma":0.0002938496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261618,"about_ca_topic_score_gemma":0.01244387,"domain_scores_codex":[0.9999348,0.00001053536,0.00000327341,0.00001817685,0.00001772546,0.00001555947],"domain_scores_gemma":[0.9997769,0.0001250595,0.00002480807,0.00001198533,0.00005132754,0.000009902623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007653229,0.0004854634,0.01565018,0.0004115717,0.0002320496,0.0001280563,0.00005608791,0.5801688,0.3272654,0.0016837,0.001958653,0.07119472],"study_design_scores_gemma":[0.000007154254,0.00004242526,0.001743241,0.000002658418,0.00001096816,0.000005144845,0.000004762453,0.9506496,0.04725477,0.0001431167,0.0001291454,0.000007016635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804043,0.0006507309,0.01689976,0.0001205385,0.00003026568,0.00001605991,0.0003213493,0.0002928688,0.001264081],"genre_scores_gemma":[0.9953625,0.0002759474,0.00315032,0.00002292984,0.000007000267,0.00001066966,0.0002433089,0.00001279939,0.0009144509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261618,"threshold_uncertainty_score":0.02508551,"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."}}