{"id":"W4248311689","doi":"10.26434/chemrxiv.13225199.v1","title":"Site-Specific Electronic Properties of [Ag25(SR)18]- Nanoclusters by X-Ray Spectroscopy","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; U.S. Department of Energy","keywords":"X-ray photoelectron spectroscopy; XANES; Nanoclusters; Electronic structure; Valence (chemistry); Density functional theory; Spectroscopy; Materials science; Chemistry; X-ray absorption spectroscopy; Absorption spectroscopy; Analytical Chemistry (journal); Atomic physics; Computational chemistry; Nanotechnology; Nuclear magnetic resonance; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009454778,0.0002123159,0.0001741229,0.0001658616,0.000182463,0.0002751957,0.0003838787,0.0002846428,0.001879874],"category_scores_gemma":[0.0001696565,0.0001277816,0.0001604669,0.0001856682,0.0002304494,0.0002354539,0.0001435268,0.0001970116,0.0001380141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004369485,"about_ca_system_score_gemma":0.0001523439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211476,"about_ca_topic_score_gemma":0.002242319,"domain_scores_codex":[0.9999354,0.0000047415,0.000003027732,0.00001454386,0.0000309536,0.000011375],"domain_scores_gemma":[0.9999571,0.0000124667,0.00000998685,0.000006298976,0.000009488267,0.000004549591],"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":[0.0001762022,0.00007812454,0.002611681,0.0001667131,0.00004781655,0.0002593351,0.0001277859,0.07005195,0.915184,0.005109463,0.0004719003,0.005714962],"study_design_scores_gemma":[0.00004071901,0.0001995707,0.006148152,0.00001079537,0.00003133967,0.00007728377,0.000113072,0.3648423,0.6246301,0.001297373,0.002570252,0.0000390961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957712,0.0001094822,0.002553364,0.00002887558,0.000006421187,0.00000596224,0.000116377,0.00007820206,0.001330032],"genre_scores_gemma":[0.9951494,0.00009318245,0.003965604,0.00001038356,0.00000184826,0.00001032551,0.0001383467,0.00002755876,0.0006033517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002211476,"threshold_uncertainty_score":0.006288767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109647890527386,"score_gpt":0.2401544260424189,"score_spread":0.2090579471371451,"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."}}