{"id":"W4381516773","doi":"10.1364/boda.2023.jtu4b.30","title":"A Photothermal Therapy Guidance System with Photoacoustic Thermometry and Diffuse Optical Tomography","year":2023,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Photothermal therapy; Photoacoustic imaging in biomedicine; Photoacoustic tomography; Materials science; Diffuse optical imaging; Photoacoustic effect; Optical imaging; Biomedical engineering; Prostate cancer; Optics; Tomography; Medicine; Cancer; Nanotechnology; Physics; Internal medicine","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":[0.0005554127,0.0006569323,0.0005129292,0.0004482158,0.0002791223,0.0005172939,0.001102449,0.001197975,0.002218642],"category_scores_gemma":[0.0006530866,0.0007439782,0.0003311062,0.0003194557,0.0004556307,0.0006956905,0.0007225503,0.0007127907,0.0007879069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975518,"about_ca_system_score_gemma":0.000856021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230787,"about_ca_topic_score_gemma":0.001638591,"domain_scores_codex":[0.9995347,0.00005335214,0.0000163125,0.0001446769,0.0002072896,0.00004363159],"domain_scores_gemma":[0.9997286,0.00007677957,0.00005395533,0.00004069303,0.00004331246,0.00005663877],"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":[0.0002073215,0.00005597747,0.0005023036,0.0000845229,0.0000113319,0.00009044415,0.00003709375,0.000423939,0.9790787,0.0004158776,0.0004276783,0.01866485],"study_design_scores_gemma":[0.0001285744,0.001185983,0.005542171,0.00002990247,0.00008728959,0.005170485,0.00002452669,0.01669284,0.9526308,0.0001985616,0.01820586,0.0001029463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2764544,0.004947545,0.7014681,0.001266861,0.0003430099,0.001018897,0.0005026122,0.005386216,0.008612472],"genre_scores_gemma":[0.4110709,0.001226058,0.5791563,0.0005569309,0.00008157681,0.0005333318,0.0002344733,0.00020613,0.006934277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002218642,"threshold_uncertainty_score":0.00742209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00640345445238735,"score_gpt":0.1873191429298159,"score_spread":0.1809156884774286,"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."}}