{"id":"W2111294628","doi":"10.1002/cbic.200600330","title":"Intracellular Imaging of HCV RNA and Cellular Lipids by Using Simultaneous Two‐Photon Fluorescence and Coherent Anti‐Stokes Raman Scattering Microscopies","year":2006,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"National Institute of General Medical Sciences","keywords":"RNA; Raman scattering; Raman spectroscopy; Fluorescence; Intracellular; Microscopy; Subcellular localization; Hepatitis C virus; Fluorescence microscope; Biophysics; Photon; Chemistry; Cell biology; Biology; Biochemistry; Virology; Cytoplasm; Physics; Gene; Virus; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003273283,0.0004100876,0.0003227542,0.0004619862,0.000344298,0.000511715,0.0003667818,0.0005919842,0.0006831038],"category_scores_gemma":[0.0003826531,0.0003604806,0.0003529192,0.0002094073,0.000451084,0.0005889281,0.0007319852,0.000633675,0.000220756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482481,"about_ca_system_score_gemma":0.0005033008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050167,"about_ca_topic_score_gemma":0.001712118,"domain_scores_codex":[0.9997017,0.00004002539,0.0000110816,0.00006531707,0.0001299054,0.00005202508],"domain_scores_gemma":[0.9997872,0.00008312273,0.00003633954,0.00002471844,0.00004198385,0.00002673124],"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":[0.00005259807,0.00001008508,0.0001455964,0.00002802086,0.000004570107,0.00003803521,0.00001821036,0.0001769116,0.996048,0.0003160667,0.00005451353,0.003107386],"study_design_scores_gemma":[0.0000284266,0.0001288004,0.001220765,0.000007172923,0.0000176522,0.0002586691,0.00003354888,0.009125135,0.9875869,0.0002652873,0.001306824,0.00002103215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9055964,0.002102088,0.08695184,0.0005537717,0.00008848796,0.00009701074,0.000270824,0.0004373432,0.003902251],"genre_scores_gemma":[0.8791642,0.001775709,0.1154241,0.0001961434,0.00008696202,0.0001903562,0.0002037969,0.0000731694,0.002885542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001050167,"threshold_uncertainty_score":0.0035007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00499406222292197,"score_gpt":0.2611758253588433,"score_spread":0.2561817631359213,"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."}}