{"id":"W2147163301","doi":"10.1146/annurev.anchem.1.031207.112754","title":"Coherent Anti-Stokes Raman Scattering Microscopy: Chemical Imaging for Biology and Medicine","year":2008,"lang":"en","type":"review","venue":"Annual Review of Analytical Chemistry","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; University of Ottawa; Massachusetts General Hospital; National Institutes of Health; Pfizer","keywords":"Raman scattering; Microscopy; Raman spectroscopy; Nanotechnology; Coherent anti-Stokes Raman spectroscopy; Materials science; Optics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008453795,0.001055941,0.001443845,0.002518754,0.000443464,0.001235486,0.001511888,0.001979475,0.0033317],"category_scores_gemma":[0.0005479638,0.0003829547,0.0003664056,0.002740116,0.001117221,0.002483876,0.001063234,0.002033918,0.006148153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000905667,"about_ca_system_score_gemma":0.0008915344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006748613,"about_ca_topic_score_gemma":0.0009360799,"domain_scores_codex":[0.999699,0.00003854984,0.00001593372,0.00004702505,0.000176095,0.00002337345],"domain_scores_gemma":[0.9997293,0.0000835152,0.00002683418,0.000015264,0.0001103529,0.00003465399],"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":[0.00003453539,0.00007851523,0.00009307159,0.005653914,0.00004420709,0.0002534,0.00007909181,0.0003730215,0.01114744,0.01244517,0.04794705,0.9218507],"study_design_scores_gemma":[0.00001079718,0.00004719599,0.0002728845,0.0007685644,0.00001482572,0.00122919,0.00004267846,0.0001279938,0.001517863,0.00465773,0.9912883,0.00002203004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001990826,0.9931021,0.001630458,0.0005348765,0.0005874613,0.00001279278,0.00001308249,0.0000321433,0.003888019],"genre_scores_gemma":[0.001242288,0.9922886,0.001771274,0.0004779105,0.0005229913,0.0000214361,0.00003335845,0.000005486236,0.003636565],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0033317,"threshold_uncertainty_score":0.01114559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259651640748315,"score_gpt":0.4298931958678496,"score_spread":0.4072966794603664,"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."}}