{"id":"W4363646479","doi":"10.1002/smtd.202300071","title":"Synergistic Tuning of CoO/CoP Heterojunction Nanowire Arrays as Efficient Bifunctional Catalysts for Alkaline Overall Water Splitting","year":2023,"lang":"en","type":"article","venue":"Small Methods","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; China Scholarship Council","keywords":"Bifunctional; Water splitting; Alkaline water electrolysis; Oxygen evolution; Materials science; Heterojunction; Electrocatalyst; Nanowire; Chemical engineering; Catalysis; Durability; Electrolysis; Nanotechnology; Electrode; Chemistry; Electrochemistry; Optoelectronics; Composite material; Electrolyte; Physical chemistry; Photocatalysis","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":[0.00007841105,0.0002528163,0.0001643791,0.0001796672,0.0001011077,0.0003214761,0.0001846092,0.0002174799,0.000439805],"category_scores_gemma":[0.0001166909,0.0001785874,0.00009623456,0.0001633027,0.0001462053,0.0002075725,0.0001386845,0.000186227,0.0001190881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767816,"about_ca_system_score_gemma":0.0001181479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000345238,"about_ca_topic_score_gemma":0.001981857,"domain_scores_codex":[0.9999157,0.000005805649,0.000006236278,0.00002583917,0.00002920351,0.0000172364],"domain_scores_gemma":[0.9999599,0.000008131224,0.000008273289,0.000004234667,0.000009900905,0.000009540113],"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":[0.00001364777,0.00001171718,0.00007833287,0.00001707266,0.00000377797,0.00001663571,0.000004123482,0.0001213413,0.9986361,0.00006817318,0.00003509911,0.0009939261],"study_design_scores_gemma":[0.000008143594,0.00004704091,0.001232072,0.000001813491,0.00001030254,0.00003099108,0.000009517903,0.002458378,0.9955202,0.00002429031,0.0006543281,0.000002814093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943793,0.0006737331,0.002738643,0.00004036404,0.00003947461,0.00001566811,0.00008454557,0.00007595872,0.001952383],"genre_scores_gemma":[0.9978543,0.0002280989,0.001381141,0.00001305823,0.000005426147,0.00001091209,0.00004626083,0.00001078071,0.0004498352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000439805,"threshold_uncertainty_score":0.001471281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292992343636908,"score_gpt":0.3112865728728914,"score_spread":0.2783566494365223,"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."}}