{"id":"W4249145210","doi":"10.1121/1.4800384","title":"Acoustic and photoacoustic imaging of spheroids","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Spheroid; Materials science; Photoacoustic imaging in biomedicine; Ultrasound; Absorption (acoustics); Biomedical engineering; Nanorod; Nanoparticle; Optics; Microscope; Chemistry; Nanotechnology; Acoustics; Physics; Medicine","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":[0.0002874138,0.0003515615,0.0004942905,0.000209858,0.00006648835,0.00006348754,0.0002756996,0.0001034387,0.00008301946],"category_scores_gemma":[0.0005934263,0.0003508756,0.00006605083,0.0003314896,0.0002467552,0.0002718984,0.000070952,0.0003235023,0.00001123709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005820075,"about_ca_system_score_gemma":0.00002464462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003483439,"about_ca_topic_score_gemma":1.891513e-7,"domain_scores_codex":[0.9981443,0.000003285503,0.0006170515,0.0003051041,0.0004143195,0.0005159522],"domain_scores_gemma":[0.9986864,0.000265708,0.000220851,0.0001258884,0.0005319545,0.0001692266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001222176,0.00005485757,0.002766605,0.001241095,0.00004540402,0.000001320273,0.0003997142,0.005569172,0.9827903,0.0001334618,0.004078634,0.00290722],"study_design_scores_gemma":[0.001121491,0.0001688479,0.007003795,0.001042085,0.0003285143,0.00007085643,0.004330358,0.767658,0.2161477,0.001265036,0.00008174926,0.0007815724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779805,0.0003798436,0.005457568,0.00003993775,0.0002205496,0.0004069066,0.0000231283,0.0002912845,0.01520028],"genre_scores_gemma":[0.9927322,0.0002131809,0.00667715,0.00008707542,0.00008285801,0.00003250365,0.000001853017,0.0000897627,0.00008340515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7666426,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003735125744169193,"score_gpt":0.1796834173029665,"score_spread":0.1759482915587973,"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."}}