{"id":"W3045315198","doi":"10.1016/j.isci.2020.101404","title":"Deep-Breathing Honeycomb-like Co-Nx-C Nanopolyhedron Bifunctional Oxygen Electrocatalysts for Rechargeable Zn-Air Batteries","year":2020,"lang":"en","type":"article","venue":"iScience","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electrocatalyst; Bifunctional; Chemistry; Oxygen; Oxygen evolution; Chemical engineering; Honeycomb; Porosity; Inorganic chemistry; Catalysis; Materials science; Electrochemistry; Electrode; Composite material; Organic chemistry; Physical chemistry","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":[0.0005562695,0.0003433307,0.0003800791,0.0001678752,0.0006862942,0.0001027382,0.0008017365,0.0001541763,0.000212177],"category_scores_gemma":[0.0004127514,0.0003303491,0.0001993042,0.0009245411,0.0002039128,0.0009102671,0.0001417039,0.0002339914,0.0003739093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030478,"about_ca_system_score_gemma":0.0002928522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003849042,"about_ca_topic_score_gemma":0.0002087379,"domain_scores_codex":[0.9968095,0.00005570278,0.0005469312,0.000935483,0.000752967,0.000899412],"domain_scores_gemma":[0.9985594,0.0001475261,0.000349978,0.0004345546,0.0002015847,0.0003069941],"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":[0.0002164426,0.00006333848,0.0002331235,0.00007625541,0.00006247886,0.00001540953,0.0007866909,0.002275684,0.9651045,0.009518303,0.01456473,0.007083056],"study_design_scores_gemma":[0.0008365384,0.0007167797,0.000258263,0.00003141626,0.00004822581,0.00006190176,0.0002064814,0.01787923,0.7645329,0.001080921,0.2137291,0.0006182241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6852336,0.003440858,0.2517914,0.02405408,0.003839586,0.001699348,0.00004274851,0.002697299,0.02720108],"genre_scores_gemma":[0.9899618,0.00003351964,0.003358888,0.00346904,0.0003480902,0.0001020338,0.0001867116,0.00006276279,0.002477175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3047282,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689372119650636,"score_gpt":0.2373261319673121,"score_spread":0.2204324107708057,"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."}}