{"id":"W4306839757","doi":"10.32920/21291036","title":"High resolution ultrasound and photoacoustic imaging of single cells","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"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; Canada Research Chairs","keywords":"Photoacoustic Doppler effect; Photoacoustic imaging in biomedicine; Materials science; Laser; Ultrasound; Microscope; Optics; Wavelength; Acoustic microscopy; Resolution (logic); Photoacoustic effect; Transducer; Photoacoustic spectroscopy; Microscopy; Biomedical engineering; Optoelectronics; Medicine; Acoustics; Physics; Computer science","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":[0.0002999039,0.0002555977,0.0003212445,0.0006389322,0.000232927,0.0004033673,0.0002933588,0.0006381079,0.002795336],"category_scores_gemma":[0.000261206,0.0002589088,0.0001345961,0.0005127816,0.0003616406,0.0004698401,0.0003856172,0.0004709746,0.000826199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178429,"about_ca_system_score_gemma":0.0001800522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005583867,"about_ca_topic_score_gemma":0.0007036978,"domain_scores_codex":[0.9997674,0.00002796454,0.00001185774,0.00007010801,0.00008268829,0.00004006553],"domain_scores_gemma":[0.9997887,0.00006863331,0.00002137997,0.00003747627,0.00005064942,0.00003323292],"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":[0.00002311187,0.000005879752,0.00004691944,0.00001441748,0.000001071841,0.00004034485,0.00002164874,0.0001057762,0.997494,0.000126906,0.00004991168,0.002070103],"study_design_scores_gemma":[0.00001736425,0.0001419671,0.003719442,0.000009735593,0.000009428549,0.0006906572,0.0000839361,0.009807329,0.9806568,0.0003859542,0.00446002,0.00001725911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8002255,0.002678833,0.1859834,0.0003385228,0.00009533247,0.0001491153,0.0006919567,0.0009932962,0.008843975],"genre_scores_gemma":[0.7157493,0.001686933,0.2673398,0.0001747554,0.00007762644,0.000288827,0.0005854401,0.0001880179,0.01390925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002795336,"threshold_uncertainty_score":0.009351313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007995968076907917,"score_gpt":0.1983882350036498,"score_spread":0.1903922669267419,"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."}}