{"id":"W2968449927","doi":"10.1021/acsnano.9b05226","title":"Single Atomic Vacancy Catalysis","year":2019,"lang":"en","type":"article","venue":"ACS Nano","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Air Force Office of Scientific Research; Division of Electrical, Communications and Cyber Systems; Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Vacancy defect; Tafel equation; Catalysis; Atom (system on chip); Transition metal; Materials science; Chemical physics; Strain (injury); Electrical resistivity and conductivity; Nanotechnology; Chemistry; Condensed matter physics; Electrochemistry; Crystallography; Physical chemistry; Physics; Electrode; Organic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001021494,0.0001586242,0.0002066631,0.0001390027,0.00005909851,0.0000232001,0.0003212648,0.0001152047,0.0006987519],"category_scores_gemma":[0.00003064101,0.0001537292,0.00010677,0.0004199926,0.00002045788,0.000213295,0.00009333723,0.00009626773,0.005476919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570736,"about_ca_system_score_gemma":0.00005728436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530226,"about_ca_topic_score_gemma":0.0004634116,"domain_scores_codex":[0.9988196,0.00002887816,0.0001845062,0.0003298367,0.0002821367,0.0003550622],"domain_scores_gemma":[0.9991042,0.00004348915,0.00007776367,0.0006296438,0.0000732594,0.00007161868],"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":[0.00002819826,0.00007341814,0.002444202,0.0000148471,0.00009662755,0.000007634407,0.0001032107,0.0001256272,0.9757621,0.008808785,0.002342108,0.0101933],"study_design_scores_gemma":[0.0004736578,0.00008546239,0.0002446186,0.00001288425,0.00004119007,0.000009295136,0.00002355911,0.00004818948,0.8230993,0.0006439634,0.1750963,0.0002216258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410179,0.0002161045,0.00001562355,0.0001393886,0.0003177631,0.00006139798,5.476644e-7,0.0001574018,0.0580739],"genre_scores_gemma":[0.9807312,0.00001938849,0.0001136778,0.0002367547,0.00008264695,0.000006850153,0.00008191846,0.00004172812,0.01868585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727542,"threshold_uncertainty_score":0.9952974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006212736194671498,"score_gpt":0.1980928323534073,"score_spread":0.1918800961587358,"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."}}