{"id":"W4399830856","doi":"10.1139/cjc-2024-0050","title":"Radiolytic reduction of silver nanoparticles probed in situ via Cherenkov spectroscopy","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University Network of Excellence in Nuclear Engineering; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Chemistry; In situ; Radiolysis; Cherenkov radiation; Spectroscopy; Silver nanoparticle; Nanoparticle; Photochemistry; Reduction (mathematics); Nanotechnology; Physical chemistry; Aqueous solution; Organic chemistry; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003260669,0.0002947081,0.0003127255,0.000234212,0.0002295406,0.0005089141,0.0005813758,0.000446178,0.0007319158],"category_scores_gemma":[0.0005075913,0.0002541273,0.0002117343,0.0002143271,0.0004534342,0.0004041799,0.0004259461,0.001014505,0.0002645547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224608,"about_ca_system_score_gemma":0.0003297671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007538738,"about_ca_topic_score_gemma":0.001050302,"domain_scores_codex":[0.9997302,0.00004687191,0.000009251181,0.00006785626,0.00009601114,0.00004976387],"domain_scores_gemma":[0.9997997,0.00008053036,0.00004879097,0.00002158983,0.00003764052,0.00001183768],"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":[0.00003114706,0.00001096267,0.00004457264,0.00002997335,0.000002778666,0.00002328349,0.0000582254,0.0001417936,0.9982454,0.0003539471,0.00004559298,0.001012361],"study_design_scores_gemma":[0.000005375872,0.00004985027,0.000166644,0.0000019591,0.000002530087,0.000032744,0.00001828266,0.001839636,0.9973247,0.0001196149,0.0004340002,0.000004643086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598715,0.000764285,0.03518921,0.0002487042,0.00004433034,0.00004638687,0.000130842,0.0002838017,0.003420939],"genre_scores_gemma":[0.9801949,0.0006301271,0.01639173,0.0001068043,0.00001303897,0.00004098009,0.0001302255,0.00005655764,0.002435611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007538738,"threshold_uncertainty_score":0.003790736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399499184982854,"score_gpt":0.2427478318428771,"score_spread":0.2353483326578942,"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."}}