{"id":"W2984800101","doi":"10.1039/c9ta08936e","title":"<i>In situ</i> grown cobalt phosphide (CoP) on perovskite nanofibers as an optimized trifunctional electrocatalyst for Zn–air batteries and overall water splitting","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Electrocatalyst; Cobalt; Phosphide; Perovskite (structure); In situ; Nanofiber; Materials science; Oxygen evolution; Chemical engineering; Water splitting; Catalysis; Chemistry; Nanotechnology; Electrode; Metallurgy; Electrochemistry; Physical chemistry; Engineering","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":[0.0008235747,0.0003325733,0.0006562296,0.00009279855,0.00009604954,0.0001054391,0.000264227,0.0002166612,0.0006712266],"category_scores_gemma":[0.00007321312,0.0002638066,0.0001577235,0.00006686381,0.00005051845,0.0006528693,0.00005732718,0.0001916371,0.00002941686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991651,"about_ca_system_score_gemma":0.0001132215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165474,"about_ca_topic_score_gemma":0.000006114492,"domain_scores_codex":[0.9978489,0.00006672779,0.000790899,0.00037911,0.000410635,0.0005036909],"domain_scores_gemma":[0.9988192,0.0001214524,0.0004458568,0.0002635759,0.0001913562,0.0001585717],"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":[0.005809705,0.00009566131,0.0000239817,0.000195019,0.0001144107,0.00003037866,0.0001673639,0.0006733491,0.9922759,0.0001782493,0.0003898288,0.00004618311],"study_design_scores_gemma":[0.004780607,0.0004861415,0.00004264489,0.0001355324,0.0000668006,0.0003776679,0.00009722933,0.00001948464,0.988524,0.0008765367,0.004285725,0.0003076537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976102,0.00005749229,0.00001697226,0.0006247829,0.0004436769,0.0001404768,0.000005930523,0.00002527237,0.001075188],"genre_scores_gemma":[0.9961403,0.00004773721,0.0006046625,0.0007012705,0.0005169612,0.00001457076,0.0001429651,0.00005674,0.001774815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003895896,"threshold_uncertainty_score":0.9999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005217419576012464,"score_gpt":0.2108403619267132,"score_spread":0.2056229423507007,"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."}}