{"id":"W4388041075","doi":"10.1021/acsnano.3c05964","title":"<i>In Situ</i> Studies of Copper-Based CO <sub>2</sub> Reduction Electrocatalysts by Scanning Transmission Soft X-ray Microscopy","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Total","keywords":"Nanomaterials; Materials science; Electrochemistry; Nanoparticle; Electrode; Catalysis; Copper; Nanotechnology; Chemical engineering; Metal; In situ; Standard electrode potential; Microscopy; Chemistry; Metallurgy; Optics; Physical 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":[0.0003564136,0.000238102,0.0003992838,0.0003453522,0.0001429588,0.00001855934,0.0001920967,0.0001599703,0.000009636216],"category_scores_gemma":[0.00003580358,0.0002361087,0.0001301012,0.001194304,0.0001246768,0.0001944742,0.00002863179,0.0001754607,0.00005038922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552569,"about_ca_system_score_gemma":0.00009079846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406984,"about_ca_topic_score_gemma":0.00002370081,"domain_scores_codex":[0.9982914,0.00008010608,0.0004882851,0.0004301852,0.000299433,0.0004105659],"domain_scores_gemma":[0.9992557,0.00005875969,0.0001649261,0.0003339048,0.0001140833,0.00007269759],"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":[0.00008676072,0.00008607738,0.00002350967,0.00009413567,0.00004084243,0.000005390807,0.0003645946,0.0003181363,0.9215912,0.00003013082,0.06383701,0.01352218],"study_design_scores_gemma":[0.0005423436,0.0001549546,0.0000270332,0.0001579951,0.000033812,0.000008502202,0.0003238594,0.00003137752,0.9798795,0.0001720966,0.01844065,0.0002278874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959097,0.001950557,0.0003158163,0.0007222998,0.0002367364,0.0002353056,0.00001116904,0.0003566164,0.0002618053],"genre_scores_gemma":[0.9976892,0.001089615,0.0001599418,0.00009143904,0.00007371351,0.00008329395,0.0002154211,0.00004908167,0.0005483103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05828825,"threshold_uncertainty_score":0.9628232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390355549313031,"score_gpt":0.2859810750357979,"score_spread":0.2720775195426676,"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."}}