{"id":"W4224292180","doi":"10.1007/s12598-022-01975-6","title":"Large‐scale doping‐engineering enables boron/nitrogen dual‐doped porous carbon for high‐performance zinc ion capacitors","year":2022,"lang":"en","type":"article","venue":"Rare Metals","topic":"Advanced battery technologies research","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Materials science; Heteroatom; Cathode; Electrochemistry; Carbon fibers; Energy storage; Capacitor; Desorption; Chemical engineering; Doping; Nanotechnology; Adsorption; Composite material; Electrode; Optoelectronics; Voltage; Composite number; Electrical engineering; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000342866,0.0002997802,0.0003999473,0.0002988743,0.0002402999,0.00003718571,0.0004271377,0.0001065371,0.00009768654],"category_scores_gemma":[0.00009162386,0.0003232548,0.00007982893,0.000480531,0.00003216744,0.0002346411,0.000321126,0.000445355,0.000009138043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134536,"about_ca_system_score_gemma":0.00002519962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001862139,"about_ca_topic_score_gemma":0.000008158988,"domain_scores_codex":[0.9979995,0.00003165667,0.0003500609,0.0003606563,0.0004108333,0.0008473241],"domain_scores_gemma":[0.9991701,0.0001119234,0.00005381487,0.0005340576,0.00005401426,0.00007605842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009065478,0.0001307399,0.001806212,0.001234924,0.000499561,0.0001082124,0.0008723938,0.7337258,0.2499024,0.000748128,0.002266983,0.008614061],"study_design_scores_gemma":[0.00138147,0.0003631083,0.0004510656,0.00006095341,0.00006385767,0.00007626355,0.001276821,0.1401595,0.811132,0.0007834723,0.04321772,0.001033777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910112,0.001389809,0.004198472,0.00007983007,0.000807733,0.0006892905,0.0002013531,0.001364741,0.0002575445],"genre_scores_gemma":[0.9943637,0.0001222713,0.003932639,0.0000216435,0.000171853,0.0008903015,0.0001009594,0.0001304253,0.000266187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5935663,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211104722576639,"score_gpt":0.2278121498827933,"score_spread":0.2157011026570269,"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."}}