{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003106908,0.0004826622,0.0007594247,0.00007641639,0.0001321245,0.0001782898,0.001147796,0.0002901366,0.001026724],"category_scores_gemma":[0.00003862622,0.000427523,0.0002589487,0.0001969226,0.0002697213,0.00008011622,0.0007759186,0.0004795536,0.0005228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067315,"about_ca_system_score_gemma":0.0002744108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003953324,"about_ca_topic_score_gemma":0.000005713311,"domain_scores_codex":[0.9970661,0.00008654538,0.0006987205,0.00107985,0.0004337982,0.0006349648],"domain_scores_gemma":[0.9980506,0.00004932526,0.0005032999,0.001123081,0.0001135255,0.0001601871],"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":[0.00004781813,0.0001119642,0.00002181865,0.0003125709,0.00002267408,0.000001211791,0.0003685993,0.00003163129,0.9683641,0.0002572373,0.0303645,0.0000959294],"study_design_scores_gemma":[0.000206815,0.00004682126,0.00002185395,0.0001899095,0.00004866521,0.000001679821,0.00005526279,0.00009408167,0.9600292,0.0005873574,0.03828482,0.000433573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838061,0.006938105,0.002812235,0.002345627,0.0004954687,0.0009925439,0.00007544795,0.0002680908,0.002266394],"genre_scores_gemma":[0.9952825,0.0008891477,0.00211519,0.0001765914,0.0002904215,0.0002842016,0.00006174367,0.00008273485,0.0008174826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0114764,"threshold_uncertainty_score":0.9998865,"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."}}