{"id":"W2278892002","doi":"10.1016/j.pacs.2016.01.001","title":"High resolution ultrasound and photoacoustic imaging of single cells","year":2016,"lang":"en","type":"article","venue":"Photoacoustics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canadian Cancer Society; Lotte and John Hecht Memorial Foundation; Ryerson University","keywords":"Photoacoustic Doppler effect; Materials science; Photoacoustic imaging in biomedicine; Laser; Microscope; Ultrasound; Optics; Photoacoustic effect; Transducer; Wavelength; Acoustic microscopy; Photoacoustic spectroscopy; Ultrasonic sensor; Resolution (logic); Biomedical engineering; Optoelectronics; Microscopy; Acoustics; Medicine; Computer science; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002183918,0.0002973463,0.0003433775,0.000164326,0.00008129976,0.00003579435,0.0001762271,0.00008609843,0.000114823],"category_scores_gemma":[0.0002104493,0.000245718,0.00006276933,0.000204222,0.0002655174,0.0001926697,0.00004203435,0.0001405705,0.00001413963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537328,"about_ca_system_score_gemma":0.0000318597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004981854,"about_ca_topic_score_gemma":0.000003814813,"domain_scores_codex":[0.9984135,0.00002615552,0.000442143,0.0003029511,0.0002790001,0.0005362374],"domain_scores_gemma":[0.9986302,0.0006623674,0.00009096602,0.0003532243,0.0001072807,0.0001559725],"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":[0.0000137009,0.00004251519,0.0003144373,0.0001518861,0.00003445008,0.00001174513,0.0001351559,0.005218926,0.9905998,0.00007027795,0.001641642,0.00176551],"study_design_scores_gemma":[0.001201856,0.00005710005,0.0008657446,0.0003335632,0.0002201816,0.0001283864,0.0002810223,0.07335287,0.9211274,0.001108623,0.0007079141,0.0006153878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5616783,0.0006423822,0.4343172,0.00002259301,0.001025354,0.0002618595,0.0003683207,0.0003978189,0.001286077],"genre_scores_gemma":[0.9928318,0.0004136621,0.00633757,0.00005265003,0.0001251024,0.00001483611,0.000006663924,0.0000783735,0.0001393061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4311535,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006422944521610472,"score_gpt":0.183077924518149,"score_spread":0.1766549799965385,"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."}}