{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002765644,0.0003504886,0.0003647833,0.0002372804,0.0002309246,0.00007238616,0.0004690851,0.0002335925,0.00002187637],"category_scores_gemma":[0.0001920437,0.0003793567,0.0001508579,0.0005630211,0.0000521761,0.0002029623,0.0001274324,0.0002467408,0.00001255574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190126,"about_ca_system_score_gemma":0.0002193463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415614,"about_ca_topic_score_gemma":0.00007680169,"domain_scores_codex":[0.9977461,0.00001802022,0.0003362331,0.0006144229,0.0002393061,0.001045959],"domain_scores_gemma":[0.9988879,0.000133248,0.0001097134,0.0005405494,0.0002140553,0.0001145083],"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":[0.0002697153,0.0001402288,0.00009688365,0.0005198065,0.0003367532,0.00001922242,0.0001621999,0.00006858926,0.9405704,0.03022441,0.02124662,0.00634518],"study_design_scores_gemma":[0.001111149,0.00004703968,0.00001002743,0.00003247589,0.0000933006,0.000003916423,0.0002497136,0.0007691866,0.9083647,0.006160906,0.08282237,0.0003352695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507932,0.001330855,0.0003065549,0.0006224801,0.0001305788,0.0003751678,9.626626e-7,0.0004484988,0.04599171],"genre_scores_gemma":[0.9521098,0.00004135933,0.0001015129,0.0002315548,0.00007468136,0.0001553522,0.00029275,0.00006855412,0.0469245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06157576,"threshold_uncertainty_score":0.9998658,"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."}}