{"id":"W7130771855","doi":"","title":"Substrate diffusion electrodes for electrochemical hydrogenation","year":2025,"lang":"en","type":"article","venue":"Dokumentenrepositorium der RUB (Ruhr University Bochum)","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Studienstiftung des Deutschen Volkes; Deutsche Forschungsgemeinschaft; European Commission; Canadian Institute for Theoretical Astrophysics","keywords":"Electrolyte; Substrate (aquarium); Faraday efficiency; Electrochemistry; Electrode; Diffusion; Context (archaeology); Layer (electronics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006700631,0.0008377774,0.0005801503,0.0005418871,0.0002245018,0.0006524004,0.0009002974,0.001002577,0.003522839],"category_scores_gemma":[0.0008956242,0.0003972207,0.0002636465,0.0005026112,0.0002887094,0.0009842996,0.0006636673,0.001594125,0.001991565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022407,"about_ca_system_score_gemma":0.0002247748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648257,"about_ca_topic_score_gemma":0.0007793464,"domain_scores_codex":[0.9992867,0.0001044407,0.00005540109,0.0001942256,0.0003120057,0.00004723353],"domain_scores_gemma":[0.9997153,0.0001203846,0.0000333748,0.00003370316,0.0000826139,0.00001469986],"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":[0.00004690622,0.00002407071,0.00009997225,0.0005726709,0.00001794809,0.00009229562,0.00004042134,0.0001929373,0.9670794,0.002827556,0.001217388,0.02778831],"study_design_scores_gemma":[0.00001047875,0.00007318893,0.0002229367,0.000032048,0.00001084693,0.0001801867,0.00002053358,0.002200777,0.9719234,0.0004698493,0.02484374,0.00001199613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2232367,0.07893078,0.650805,0.002620053,0.00276334,0.000807272,0.003905049,0.004026094,0.03290572],"genre_scores_gemma":[0.6444473,0.03902933,0.2895564,0.0009257468,0.0003072027,0.0006222073,0.002532977,0.0003556134,0.02222318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003522839,"threshold_uncertainty_score":0.01178509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004616213570803308,"score_gpt":0.2014582751652913,"score_spread":0.196842061594488,"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."}}