{"id":"W4389798934","doi":"10.1039/d3cy01316b","title":"Following the temperature-induced activation of carbon-supported trigonal Pd<sub>3</sub> nanoclusters for catalysis","year":2023,"lang":"en","type":"article","venue":"Catalysis Science & Technology","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Saskatchewan; Canadian Light Source","keywords":"Nanoclusters; Catalysis; Trigonal crystal system; Chemistry; Activated carbon; Carbon fibers; Palladium; Crystallography; Inorganic chemistry; Chemical engineering; Materials science; Physical chemistry; Organic chemistry; Adsorption; Crystal structure; Composite number","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":[0.001840655,0.0002362725,0.0004690209,0.001454729,0.0008682202,0.0001083195,0.001682881,0.0002148806,0.000006064047],"category_scores_gemma":[0.0007422439,0.0001750351,0.0002541496,0.009359251,0.0009075817,0.0003491239,0.0003597233,0.0001535199,0.00003620857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563885,"about_ca_system_score_gemma":0.0003960046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004674336,"about_ca_topic_score_gemma":0.00003170074,"domain_scores_codex":[0.9972416,0.00003879347,0.0005804478,0.0008487077,0.000628331,0.0006621438],"domain_scores_gemma":[0.9977281,0.000269159,0.0003877195,0.001228369,0.0003041062,0.00008254978],"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":[0.000009091864,0.00003910064,0.0001245517,0.00001017308,0.00002617659,0.000001021959,0.0002233806,0.00007975529,0.9949106,0.000514756,0.00009076413,0.003970655],"study_design_scores_gemma":[0.0002394177,0.0000440854,0.0003242439,0.00002218386,0.0001296789,0.000004933414,0.0009362355,0.00127891,0.9960348,0.0006022424,0.0001828625,0.0002003787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946035,0.00003071658,0.0005839496,0.003450078,0.0002847581,0.0006403485,0.00002410737,0.0003131684,0.00006935617],"genre_scores_gemma":[0.9988195,0.000009767049,0.0003313143,0.00006637703,0.00004576354,0.0006095283,0.0000497418,0.00002281909,0.00004519868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007904522,"threshold_uncertainty_score":0.7137723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539874603419602,"score_gpt":0.2602899215433075,"score_spread":0.2448911755091115,"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."}}