{"id":"W2019524855","doi":"10.1364/boe.5.000539","title":"In-Vivo functional optical-resolution photoacoustic microscopy with stimulated Raman scattering fiber-laser source","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canadian Cancer Society; University of Alberta; Cancer Research Institute","keywords":"Optics; Materials science; Raman scattering; Microscopy; Laser; Photoacoustic imaging in biomedicine; Resolution (logic); Optical fiber; Preclinical imaging; Fiber laser; Raman spectroscopy; In vivo; Physics; Computer science; Biology","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":[0.0004941786,0.0005854348,0.0002513569,0.0002773114,0.0001839425,0.0002527326,0.0004837944,0.0005084235,0.001597448],"category_scores_gemma":[0.0002392786,0.0003098445,0.000184072,0.0001047665,0.000325051,0.0005130067,0.0002775074,0.0004297051,0.0004329201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109874,"about_ca_system_score_gemma":0.0002366375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003936735,"about_ca_topic_score_gemma":0.0005720336,"domain_scores_codex":[0.9998659,0.00003137408,0.000006198814,0.0000384704,0.00003734259,0.00002068371],"domain_scores_gemma":[0.9997995,0.0000670774,0.00004086037,0.00003413677,0.00003329241,0.00002510399],"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":[0.00002740616,0.000008251171,0.00003106879,0.00001672309,0.000001336881,0.00001140783,0.000004173048,0.00004133261,0.9989915,0.00004736995,0.00001568395,0.0008037122],"study_design_scores_gemma":[0.000008584437,0.0001463451,0.0007161247,0.00000294146,0.000008608054,0.0002676733,0.00000939296,0.002563169,0.9952013,0.00006320884,0.001006865,0.000005774597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601155,0.001313447,0.2342718,0.0003062012,0.00007141862,0.0002011265,0.0003539803,0.0009336583,0.002432863],"genre_scores_gemma":[0.7215455,0.001437191,0.2716945,0.0001037415,0.00005291499,0.0003639218,0.0003312288,0.0001264251,0.004344576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597448,"threshold_uncertainty_score":0.005343974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006042994697167114,"score_gpt":0.2057683576767597,"score_spread":0.1997253629795926,"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."}}