{"id":"W4387002050","doi":"10.1002/anie.202306896","title":"Tuning Binding Strength of Multiple Intermediates towards Efficient pH‐universal Electrocatalytic Hydrogen Evolution by Mo 8 O 26 ‐NbN x O y Heterocatalysts","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Catalysis; Dissociation (chemistry); Electrolyte; Electrochemistry; Adsorption; Materials science; Hydrogen; Hydrogen production; Graphene; Hydrogen fuel; Binding energy; Water splitting; Chemical engineering; Nanotechnology; Chemistry; Physical chemistry; Physics; Atomic physics; Electrode; Organic chemistry","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":[0.00006530788,0.0002720778,0.000180148,0.00007982009,0.0001129849,0.0002442596,0.0002736938,0.0002138221,0.001193778],"category_scores_gemma":[0.000114471,0.0001637335,0.00008726968,0.00006341222,0.0001693856,0.0002053199,0.0002581351,0.0002189783,0.0002886158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300206,"about_ca_system_score_gemma":0.0001352548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775461,"about_ca_topic_score_gemma":0.001911028,"domain_scores_codex":[0.9999372,0.00000439646,0.000003360329,0.00002092966,0.00001772243,0.00001635564],"domain_scores_gemma":[0.9999685,0.000005773103,0.00000947081,0.000003336268,0.000005693571,0.000007196483],"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":[0.00005364302,0.00001113145,0.0001078196,0.00002417721,0.000002989717,0.00001371452,0.000008958135,0.0001474176,0.9984728,0.0001251321,0.0000413204,0.0009909599],"study_design_scores_gemma":[0.000006890343,0.00003373944,0.000410417,0.000002369161,0.000005336615,0.00001769555,0.00001566869,0.001334016,0.9973882,0.00002129792,0.0007615867,0.000002746331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941673,0.0002871819,0.002935172,0.00003596757,0.00001472809,0.0000165723,0.00005432531,0.00006570223,0.002423071],"genre_scores_gemma":[0.9977143,0.0001403404,0.001213754,0.0000123434,0.000001678414,0.00001275467,0.0000286773,0.000009145308,0.0008670924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001193778,"threshold_uncertainty_score":0.00399363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796187979793552,"score_gpt":0.2133636120406711,"score_spread":0.2054017322427356,"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."}}