{"id":"W1483851170","doi":"10.1126/science.aaa8765","title":"High-performance transition metal–doped Pt <sub>3</sub> Ni octahedra for oxygen reduction reaction","year":2015,"lang":"en","type":"article","venue":"Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":1882,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Lawrence Livermore National Laboratory; Army Research Office; Lawrence Berkeley National Laboratory; California NanoSystems Institute; Basic Energy Sciences; Office of Naval Research; Division of Materials Research; U.S. Department of Energy; National Science Foundation","keywords":"Catalysis; Bimetallic strip; Transition metal; Vanadium; Rhenium; Materials science; Oxidizing agent; Cobalt; Molybdenum; Platinum; Nickel; Tungsten; Manganese; Inorganic chemistry; Doping; Metal; Chemistry; Metallurgy","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":[0.0000470746,0.0001460676,0.00018198,0.0001072871,0.0001330067,0.0002784682,0.0003067243,0.0002378155,0.000708317],"category_scores_gemma":[0.0001175033,0.0001282695,0.0001140606,0.0001542379,0.0000985068,0.0002454664,0.0001507095,0.0002979602,0.0003265394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382392,"about_ca_system_score_gemma":0.0001249091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007348147,"about_ca_topic_score_gemma":0.002046281,"domain_scores_codex":[0.9998924,0.000007703836,0.000006646475,0.00002216834,0.0000528191,0.0000182257],"domain_scores_gemma":[0.9999603,0.000004614275,0.000007689992,0.000004866503,0.00001323113,0.000009217236],"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":[0.0001144259,0.00002674524,0.0002755503,0.00005412289,0.000006548149,0.00003148718,0.00001410274,0.0003727374,0.9930726,0.0002898569,0.0002947656,0.005447008],"study_design_scores_gemma":[0.000008699751,0.00007486631,0.0008706118,0.000002683301,0.000008044482,0.00006103601,0.00001260672,0.004388249,0.9919416,0.00005414076,0.002570763,0.000006757344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835955,0.0007744172,0.008577513,0.0001045407,0.00006757025,0.00003182343,0.0002352481,0.0002331248,0.006380269],"genre_scores_gemma":[0.9921153,0.0002265953,0.006029891,0.00003154444,0.000005268835,0.0000173833,0.0001820685,0.0000392845,0.001352477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007348147,"threshold_uncertainty_score":0.002369523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621056010974468,"score_gpt":0.2277061789598645,"score_spread":0.2114956188501198,"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."}}