{"id":"W2116831850","doi":"10.1117/1.jbo.17.6.061217","title":"Non-contact biomedical photoacoustic and ultrasound imaging","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Optical coherence tomography; Ultrasound; Materials science; Laser; Photoacoustic imaging in biomedicine; Interferometry; Optics; Transducer; Ultrasonic sensor; Photoacoustic Doppler effect; Photoacoustic effect; Biomedical engineering; Photoacoustic spectroscopy; Acoustics; Medicine; Physics","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":[0.0004613402,0.0003683624,0.0002858941,0.0005226745,0.0001971391,0.000456887,0.0007027863,0.0007826165,0.002268005],"category_scores_gemma":[0.0009778356,0.0003457702,0.0002425698,0.0004434887,0.0006715747,0.0008277991,0.0008991898,0.0004888109,0.0008020927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587373,"about_ca_system_score_gemma":0.000298144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003056985,"about_ca_topic_score_gemma":0.0006168458,"domain_scores_codex":[0.9991573,0.0001031629,0.00003009516,0.00018488,0.0004775466,0.00004699334],"domain_scores_gemma":[0.9991245,0.0003299487,0.0001945467,0.0001733942,0.0001351539,0.00004250812],"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":[0.00006438544,0.00002044301,0.0005649466,0.0001660648,0.000007811794,0.0001275752,0.00006135528,0.0003087278,0.9724417,0.001159279,0.000164295,0.0249135],"study_design_scores_gemma":[0.00001137566,0.0002105483,0.005111268,0.00001441739,0.00001738156,0.002533332,0.00005349222,0.01036263,0.9738811,0.0007392095,0.007039061,0.00002605332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3948598,0.007849615,0.5833784,0.0003602083,0.0001233699,0.0001926968,0.0002495038,0.0007905897,0.01219576],"genre_scores_gemma":[0.751229,0.002459753,0.2369298,0.0001874385,0.000100418,0.000162408,0.0002565898,0.00007937881,0.00859529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002268005,"threshold_uncertainty_score":0.007587254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005177028864929225,"score_gpt":0.2189709742034325,"score_spread":0.2137939453385033,"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."}}