{"id":"W2074477219","doi":"10.1515/plm-2014-0011","title":"Diffuse optical tomography to monitor the photocoagulation front during interstitial photothermal therapy: Numerical simulations and measurements in tissue-simulating phantoms","year":2014,"lang":"en","type":"article","venue":"Photonics and Lasers in Medicine","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Diffuse optical imaging; Optics; Optical tomography; Magnetic resonance imaging; Thermography; Tomography; Optical coherence tomography; Photon diffusion; Biomedical engineering; Materials science; Radiology; Medicine; Physics; Infrared","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597346,0.0001973475,0.0002782784,0.0001844255,0.00009160685,0.00003061626,0.0001002596,0.00005843246,0.00004380068],"category_scores_gemma":[0.0001209202,0.0001490512,0.00001813682,0.0002299269,0.00009132233,0.00008634839,0.0000298022,0.0002491089,9.007542e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005558422,"about_ca_system_score_gemma":0.000005861896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261363,"about_ca_topic_score_gemma":0.0001565707,"domain_scores_codex":[0.9988408,0.00004700198,0.0003241595,0.0002360938,0.0002368564,0.0003150784],"domain_scores_gemma":[0.9994282,0.0002405287,0.00003135333,0.0001580316,0.00002198093,0.0001198685],"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":[0.0004786756,0.0002242123,0.07723898,0.0002108118,0.0001158554,0.00002188751,0.0151129,0.3427626,0.5268653,0.00004339719,0.00006434442,0.03686099],"study_design_scores_gemma":[0.002900582,0.0001051535,0.04535295,0.0002872829,0.00001922984,0.000007219008,0.0004372934,0.9362825,0.01402591,0.00006339206,0.0002932415,0.0002252323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932516,0.0002767192,0.005095394,0.0001200017,0.0001858956,0.0006618046,0.000005017285,0.00004947918,0.0003540966],"genre_scores_gemma":[0.9990259,0.00005886596,0.0005383734,0.0001887423,0.00008454073,0.00006371016,0.000005646479,0.0000290401,0.000005115943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5935199,"threshold_uncertainty_score":0.6078132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452322678409178,"score_gpt":0.2603619316440566,"score_spread":0.2458387048599648,"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."}}