{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005514071,0.0006707592,0.0002845915,0.0001681157,0.0002159638,0.0002852178,0.0006117614,0.000621753,0.00100163],"category_scores_gemma":[0.0002745196,0.0003135863,0.000416905,0.00008797136,0.0003810664,0.0002964827,0.0003642876,0.001030221,0.0004522628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079303,"about_ca_system_score_gemma":0.0003555049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005280869,"about_ca_topic_score_gemma":0.0009032824,"domain_scores_codex":[0.9997123,0.00005137162,0.00002723408,0.00006772653,0.0001169307,0.00002435025],"domain_scores_gemma":[0.9997845,0.00007806649,0.0000407555,0.00003955504,0.00003287745,0.00002418382],"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":[0.00001038723,0.00001074017,0.00001921861,0.0000267144,0.00000166788,0.00002800772,0.000007353225,0.00005779265,0.9990973,0.0001623784,0.00003662041,0.0005417899],"study_design_scores_gemma":[0.000004355625,0.00002590094,0.00008086509,0.000001445449,0.000001862582,0.00007675205,0.000003919462,0.0006132673,0.9984042,0.0000384183,0.0007470462,0.000001841156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6254646,0.001679339,0.3623498,0.001345038,0.0004299052,0.0006954445,0.00135372,0.001144344,0.005537827],"genre_scores_gemma":[0.7289342,0.001282504,0.2647735,0.0002043371,0.00002911975,0.0003035805,0.0006323686,0.000142239,0.003698179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00100163,"threshold_uncertainty_score":0.003350794,"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."}}