{"id":"W4221123524","doi":"10.3390/nano12071141","title":"Phosphorus-Doped Graphene Electrocatalysts for Oxygen Reduction Reaction","year":2022,"lang":"en","type":"review","venue":"Nanomaterials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Science and Technology Program of Guizhou Province; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Centre québécois sur les matériaux fonctionnels","keywords":"Graphene; Materials science; Nanotechnology; Doping; Catalysis; Graphene foam; Phosphorus; Oxygen reduction; Graphene oxide paper; Chemistry; Electrode; Electrochemistry; Metallurgy; Optoelectronics; Organic 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":[0.001130253,0.0009158548,0.002483375,0.0006870909,0.0005136729,0.0001192298,0.0007670106,0.0006638576,0.0006457175],"category_scores_gemma":[0.0001779099,0.0008855455,0.001166468,0.0009478033,0.00004972029,0.0003264016,0.0001844037,0.0002732292,0.0002176695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283876,"about_ca_system_score_gemma":0.0005842269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007262896,"about_ca_topic_score_gemma":0.00004027117,"domain_scores_codex":[0.9953436,0.0004489741,0.001414756,0.001266002,0.0006252206,0.000901491],"domain_scores_gemma":[0.9971369,0.000173244,0.001296277,0.001106148,0.0001371604,0.0001502924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002606315,0.0001418769,4.793001e-8,0.005342922,0.001218801,0.00001306737,0.00004564387,0.00000346264,0.07333013,0.004942641,0.00477627,0.9099245],"study_design_scores_gemma":[0.0004615844,0.0002779378,1.546412e-7,0.0005832458,0.001511182,0.0002782834,0.0000111898,0.000001136021,0.04957112,0.0004085963,0.9460744,0.0008211356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003627813,0.9909369,0.00002312514,0.00001402656,0.004697941,0.001767116,0.00007808815,0.0005957318,0.001524302],"genre_scores_gemma":[0.0002854297,0.9811536,0.0002068622,0.00002073352,0.001257721,0.002932947,0.01106443,0.0003607122,0.002717562],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9412982,"threshold_uncertainty_score":0.9993595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402001354079717,"score_gpt":0.2892805351957347,"score_spread":0.2552605216549375,"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."}}