{"id":"W4405739010","doi":"10.1364/laop.2024.m3d.4","title":"Photoacoustic Thermometry with Endogenous and Exogeneous Contrast","year":2024,"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":"Photoacoustic imaging in biomedicine; Contrast (vision); Endogeny; Optics; Medicine; 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":[0.0005411808,0.0004581851,0.0002570589,0.0002742143,0.0001890241,0.0005725144,0.0004491991,0.0004852162,0.001497458],"category_scores_gemma":[0.001014685,0.0003014932,0.0002106469,0.0002975545,0.0006406142,0.0008901118,0.0004384166,0.0007103251,0.0005090083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079497,"about_ca_system_score_gemma":0.000303675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490066,"about_ca_topic_score_gemma":0.0005222353,"domain_scores_codex":[0.9997051,0.00005061308,0.00001428088,0.00009327112,0.00009837771,0.00003837144],"domain_scores_gemma":[0.9994788,0.0002624425,0.0001111575,0.00005825433,0.00005385431,0.00003557207],"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":[0.00004018164,0.000008862988,0.0001231072,0.00003066566,0.00000299416,0.00002564789,0.00001391598,0.00009082851,0.9975325,0.0001835016,0.00003424945,0.001913537],"study_design_scores_gemma":[0.000005370321,0.00008334602,0.0006462316,0.000002860527,0.000009081698,0.000223084,0.00001009918,0.001579836,0.9964262,0.00005715247,0.0009519141,0.000004923837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.61099,0.005528961,0.3736289,0.000421501,0.0001517956,0.0001892671,0.0002048885,0.0009977409,0.007887024],"genre_scores_gemma":[0.9020862,0.001945453,0.08989251,0.0001803024,0.00005416655,0.0002114811,0.0001296321,0.0001548838,0.005345267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001497458,"threshold_uncertainty_score":0.005009472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007554791390768071,"score_gpt":0.171658290151962,"score_spread":0.1641034987611939,"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."}}