{"id":"W2314543357","doi":"10.1021/jp203734d","title":"Improving Platinum Catalyst Durability with a Doped Graphene Support","year":2012,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Dopant; Platinum; Density functional theory; Beryllium; Catalysis; Boron; Inorganic chemistry; Binding energy; Chemical physics; Doping; Nanotechnology; Computational chemistry; Chemistry; Atomic physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005544057,0.0001914736,0.0002910656,0.00001935163,0.0001057356,0.00001459475,0.0004042145,0.00005549531,0.00008834622],"category_scores_gemma":[0.000091435,0.000108619,0.0001733196,0.0002295413,0.0001426201,0.0003286297,0.00006956125,0.000435923,0.00001545341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146565,"about_ca_system_score_gemma":0.000108792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462248,"about_ca_topic_score_gemma":0.00001374615,"domain_scores_codex":[0.9986555,0.00005228022,0.0002962172,0.0001053549,0.0005067306,0.0003839451],"domain_scores_gemma":[0.9986675,0.0001358828,0.0004192059,0.0003751341,0.0001991765,0.0002031464],"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":[0.0002612753,0.0002553629,0.0004668755,0.00004575113,0.0001161606,0.000005874731,0.0004817958,0.0002629961,0.9971833,0.00009395796,0.0001002615,0.0007263945],"study_design_scores_gemma":[0.0006977148,0.0001356485,0.0004814927,0.00001817927,0.0002147508,0.0002658082,0.0001773766,0.0001926412,0.9970983,0.0001109657,0.000447771,0.0001593115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969512,0.00005465727,0.0001754574,0.0001049446,0.00003571359,0.00003360394,9.863577e-7,0.00002323641,0.002620254],"genre_scores_gemma":[0.9988515,0.000002402471,0.00009783245,0.00003147514,0.0006780092,0.000001617763,0.000008250086,0.00002567161,0.0003032004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002317054,"threshold_uncertainty_score":0.4429353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006369179373094341,"score_gpt":0.2118543852304918,"score_spread":0.2054852058573974,"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."}}