{"id":"W4411383044","doi":"10.1002/advs.202501907","title":"Secondary Electron Hyperspectral Imaging of Carbons: New Insights and Good Practice Guide","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Physical Laboratory; Engineering and Physical Sciences Research Council; Akademie Věd České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy; European Cooperation in Science and Technology; University of Oxford; Canada Foundation for Innovation; Faraday Institution","keywords":"Hyperspectral imaging; Nanotechnology; Environmental science; Materials science; Remote sensing; Geology","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":[0.003001937,0.001720932,0.0007063928,0.004708147,0.0004875949,0.001980721,0.002559702,0.002852174,0.01032865],"category_scores_gemma":[0.003252853,0.001055823,0.0007276391,0.001745268,0.001941865,0.002572128,0.001471886,0.003865926,0.0112946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009604165,"about_ca_system_score_gemma":0.001015404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513288,"about_ca_topic_score_gemma":0.00456791,"domain_scores_codex":[0.9989336,0.0002091333,0.0001088715,0.000134349,0.0005811945,0.00003284778],"domain_scores_gemma":[0.9970637,0.0009095764,0.0001593738,0.000271477,0.001391744,0.000204155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001054013,0.0003085425,0.001480804,0.001323847,0.00005904014,0.0006325556,0.0002604134,0.002521452,0.02921896,0.01758186,0.1764358,0.7700713],"study_design_scores_gemma":[0.00003554917,0.0002399978,0.002242563,0.0008189325,0.00003689485,0.005336875,0.00028294,0.0139477,0.01502135,0.03262001,0.9292755,0.0001417087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002856524,0.1766996,0.7270483,0.02170121,0.004456644,0.0007307891,0.001127276,0.006587291,0.05879241],"genre_scores_gemma":[0.02051796,0.1531935,0.761879,0.005692496,0.003946323,0.0008957483,0.001285681,0.0010866,0.0515027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01032865,"threshold_uncertainty_score":0.03455275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004662066534640777,"score_gpt":0.3046478861574741,"score_spread":0.2999858196228333,"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."}}