{"id":"W2010085246","doi":"10.1038/nphoton.2013.309","title":"Giant Raman scattering from J-aggregated dyes inside carbon nanotubes for multispectral imaging","year":2013,"lang":"en","type":"article","venue":"Nature Photonics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Raman spectroscopy; Photobleaching; Nanoprobe; Carbon nanotube; Raman scattering; Materials science; Multispectral image; Chemical imaging; Fluorescence; Nanotechnology; Optics; Hyperspectral imaging; Nanoparticle; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001013105,0.0002039398,0.0001803231,0.00004568723,0.00007190415,0.00006149602,0.0003788234,0.000452435,0.00007075815],"category_scores_gemma":[0.0002534454,0.0001720872,0.00009960726,0.0001020443,0.0001628075,0.000005675675,0.0001945328,0.0004941925,0.000004200459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005686162,"about_ca_system_score_gemma":0.0000607519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003106809,"about_ca_topic_score_gemma":0.00003047349,"domain_scores_codex":[0.9985784,0.00002085629,0.0002027131,0.0004892464,0.0002296865,0.0004791497],"domain_scores_gemma":[0.9992382,0.00004565224,0.00005242551,0.0003756324,0.0001314593,0.0001566204],"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":[0.00005490345,0.00004212304,0.0004965619,0.00001798322,0.00003482066,0.000003342402,0.00001215838,3.691553e-7,0.992595,0.00002961242,0.004212819,0.002500332],"study_design_scores_gemma":[0.0004475415,0.00009709825,0.0004189294,0.00004116579,0.00001100484,0.000006102237,0.00001953805,0.003342962,0.9667894,0.001517023,0.02708481,0.0002243749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925858,0.003934961,0.0005154945,0.0008690997,0.0002233475,0.0005334943,0.0000526827,0.00007769536,0.001207412],"genre_scores_gemma":[0.9785157,0.0003484219,0.01913473,0.001011247,0.000248808,0.0001950811,0.0003018113,0.0000415398,0.000202612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02580553,"threshold_uncertainty_score":0.7017511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005205140744800981,"score_gpt":0.2838438734335365,"score_spread":0.2786387326887355,"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."}}