{"id":"W4412094698","doi":"10.1007/978-3-031-98056-5_3","title":"Enhanced CO2-to-CH4 Conversion via Grain Boundary Oxidation Effect in CuAg Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on green energy and technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Grain boundary; Psychology; Materials science; 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":[0.0000394239,0.0002370783,0.0002606835,0.0001760957,0.0002838071,0.0004313424,0.0002444949,0.0002484882,0.001335929],"category_scores_gemma":[0.00007062236,0.0001324011,0.0001317633,0.0002232299,0.0001441229,0.0003902434,0.0002634249,0.0003227816,0.0004429632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464743,"about_ca_system_score_gemma":0.00006661309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006871799,"about_ca_topic_score_gemma":0.001164381,"domain_scores_codex":[0.9999688,0.000003023277,0.000001130796,0.000008543675,0.00000864562,0.00000987214],"domain_scores_gemma":[0.9999868,0.00000335138,0.000001490194,0.000002320694,0.000003851324,0.000002221131],"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":[0.0003690604,0.00007858294,0.0001764265,0.0003240636,0.00002579028,0.0001481942,0.00012639,0.00111722,0.9500688,0.006399077,0.004979929,0.03618631],"study_design_scores_gemma":[0.00004994555,0.0004668203,0.001559019,0.00002336346,0.00003633373,0.0001334802,0.0001054345,0.01437874,0.9282615,0.003214043,0.05174187,0.00002949925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463128,0.009487603,0.006120999,0.0003515582,0.0009316619,0.00002546628,0.0001777178,0.0006259668,0.03596624],"genre_scores_gemma":[0.9824975,0.001440628,0.002390232,0.00005265378,0.00004476068,0.00001671585,0.0001513694,0.00008899373,0.01331725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335929,"threshold_uncertainty_score":0.004469097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00372706824018327,"score_gpt":0.2066300513244557,"score_spread":0.2029029830842724,"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."}}