{"id":"W4412172894","doi":"10.1002/cctc.202500190","title":"Electrocatalytic Glucose Upgrading by Sulfonated Carbon for Sustainable Manufacturing","year":2025,"lang":"en","type":"article","venue":"ChemCatChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Electrocatalyst; Carbon fibers; Chemistry; Electrochemistry; Nanotechnology; Business; Materials science; Electrode; Composite material; Composite number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398347,0.0003341839,0.0001837359,0.0002639121,0.00009506182,0.0002612578,0.0001923547,0.0003632348,0.0008759697],"category_scores_gemma":[0.0001232975,0.00009882726,0.0002664835,0.0002286405,0.0001814402,0.0002115139,0.0001669873,0.0002925921,0.000196479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138839,"about_ca_system_score_gemma":0.000141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004809198,"about_ca_topic_score_gemma":0.001159912,"domain_scores_codex":[0.9998512,0.00001839684,0.000009936622,0.00001827225,0.00007344474,0.00002873092],"domain_scores_gemma":[0.9999397,0.00001382491,0.000009925217,0.000005857224,0.00002205534,0.000008676244],"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":[0.00002822664,0.00001836219,0.0002514688,0.00005604438,0.000006991509,0.00005617489,0.000006560264,0.0001818311,0.9970548,0.0001025548,0.00005177828,0.002185218],"study_design_scores_gemma":[0.000003073368,0.00007079574,0.0008275692,0.000003515155,0.000005185678,0.00003731325,0.00001436889,0.001664905,0.9964939,0.00003425676,0.0008421968,0.000002975276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944035,0.001406999,0.002254374,0.0001113959,0.00005592708,0.00001503845,0.00009220579,0.00003371183,0.001626911],"genre_scores_gemma":[0.9965738,0.0004783603,0.002026464,0.00002703129,0.000005371752,0.00000459799,0.0001101224,0.000007418796,0.0007668973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008759697,"threshold_uncertainty_score":0.002930462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004363757475915009,"score_gpt":0.2152966723385813,"score_spread":0.2109329148626663,"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."}}