{"id":"W1981240743","doi":"10.1039/c2an35620a","title":"Proof-of-principle for SERS imaging of Aspergillus nidulans hyphae using in vivo synthesis of gold nanoparticles","year":2012,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Manitoba; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association; University of Manitoba","keywords":"Hypha; Aspergillus nidulans; Colloidal gold; Nanoparticle; Nanotechnology; Chemistry; Raman spectroscopy; Biophysics; Microscopy; Fluorescence microscope; Transmission electron microscopy; Materials science; Fluorescence; Biology; Biochemistry; Optics; Microbiology; 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":[],"consensus_categories":[],"category_scores_codex":[0.000446855,0.00006704395,0.0001681156,0.00004531761,0.0000152737,0.000001881245,0.0002340364,0.00005017303,0.00001675356],"category_scores_gemma":[0.0002042234,0.00004613224,0.00009460038,0.000170364,0.0002325307,0.000003526544,0.0001094105,0.000041314,9.682464e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001443434,"about_ca_system_score_gemma":0.00003099491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008807312,"about_ca_topic_score_gemma":0.000009059135,"domain_scores_codex":[0.99926,0.00003636421,0.0002415617,0.0001037416,0.0001417828,0.0002165594],"domain_scores_gemma":[0.9995003,0.00006174589,0.00009228085,0.0002449431,0.00005725805,0.00004348144],"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":[0.00006994131,0.00009137687,0.01115137,0.00006318762,0.00003675356,1.459627e-7,0.00002501063,0.000009476097,0.9876032,0.0001409383,0.0001030819,0.0007055052],"study_design_scores_gemma":[0.00009856766,0.00004120477,0.0002116629,0.00003604464,0.00003440489,0.000001457445,0.00007177411,0.0005513041,0.9975271,0.0001436149,0.001231642,0.00005127272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970832,0.0006204379,0.001580968,0.00006214391,0.00001302617,0.0001239047,0.00002389189,0.000002565016,0.0004898849],"genre_scores_gemma":[0.9970367,0.00003761975,0.002795997,0.00001558128,0.00003967647,0.00001795638,0.000003343829,0.000008287054,0.00004485184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109397,"threshold_uncertainty_score":0.1881218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097442440157354,"score_gpt":0.3425410230875546,"score_spread":0.321566598685981,"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."}}