{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005914935,0.0007860995,0.0008739758,0.001685683,0.000319025,0.001125392,0.0007455606,0.001331967,0.002248266],"category_scores_gemma":[0.0005339493,0.0003607188,0.0004239345,0.001426272,0.001051448,0.001817567,0.0008112199,0.001847131,0.001783698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168176,"about_ca_system_score_gemma":0.0005760264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004070633,"about_ca_topic_score_gemma":0.000692003,"domain_scores_codex":[0.9997566,0.00003098702,0.00001138769,0.0000530672,0.0001206529,0.00002723425],"domain_scores_gemma":[0.9996884,0.0001731375,0.00004345428,0.0000146101,0.00006280505,0.00001762738],"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":[0.0000502256,0.00008925879,0.0002722456,0.01268614,0.00007740663,0.0003340086,0.0001546784,0.0009724209,0.1137151,0.02833007,0.01128886,0.8320296],"study_design_scores_gemma":[0.000008602183,0.000206944,0.001078278,0.001505391,0.00007793813,0.002693443,0.0001751116,0.0008415416,0.05624572,0.009867537,0.92724,0.00005947513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001225859,0.9817716,0.007261711,0.0006438798,0.0004074179,0.0000229392,0.00003532884,0.0000591978,0.008572134],"genre_scores_gemma":[0.009074099,0.9833296,0.003549235,0.0003317895,0.0003073777,0.00003248644,0.00004667397,0.00001036194,0.003318394],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002248266,"threshold_uncertainty_score":0.007521152,"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."}}