{"id":"W4405661668","doi":"10.1152/physiol.00010.2024","title":"Photoacoustic Imaging of Metabolic Activities across Biological Length Scales","year":2024,"lang":"en","type":"review","venue":"Physiology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Diabetes Canada; University of Toronto; St. Michael's Hospital","funders":"Canada Research Chairs; Canada Foundation for Innovation; St. Michael's Hospital Foundation","keywords":"Photoacoustic imaging in biomedicine; Modality (human–computer interaction); Computational biology; Metabolic activity; Biology; Neuroscience; Computer science; Physiology; Artificial intelligence; Physics; Optics","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":[0.0001661309,0.0006053796,0.002316293,0.0001602262,0.00005529108,0.00002714765,0.0004047023,0.0002527425,0.0000583314],"category_scores_gemma":[0.00005606793,0.0004403717,0.0005978275,0.000293089,0.0003667408,0.00007414524,0.000162,0.0007340733,0.0001009165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005230859,"about_ca_system_score_gemma":0.00006631487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001335259,"about_ca_topic_score_gemma":0.000001256434,"domain_scores_codex":[0.9980667,0.00009691761,0.0005875434,0.0004656012,0.0001082156,0.0006750834],"domain_scores_gemma":[0.9989584,0.0004486996,0.0001192979,0.0003823597,0.00002157967,0.00006965917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006042292,0.00005984955,0.000002894461,0.04182518,0.001130622,0.00003408003,0.0003385808,0.0003166691,0.007790381,0.0004494227,0.001249137,0.9467971],"study_design_scores_gemma":[0.0001939214,0.00002766817,0.00003854249,0.006677575,0.002030072,0.0002339884,0.0003429071,0.007138005,0.0004290279,0.0007105548,0.9809231,0.00125471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001037107,0.995598,0.0004289436,0.00000170203,0.001226521,0.0002779777,0.0005114287,0.0003714988,0.0005468001],"genre_scores_gemma":[0.04928874,0.9498768,0.0001056969,0.00001340066,0.0003433689,0.0001277431,0.00009445961,0.0001012574,0.00004847371],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9796739,"threshold_uncertainty_score":0.9998048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042585990151255,"score_gpt":0.3173708311303934,"score_spread":0.2869449712288809,"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."}}