{"id":"W4302028451","doi":"10.32920/21262992","title":"Insights into photoacoustic speckle and applications in tumor characterization","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ted Rogers Centre for Heart Research; Toronto Metropolitan University; St. Michael's Hospital","funders":"Terry Fox Foundation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Speckle pattern; Optics; Scattering; Superposition principle; Ultrasound; Materials science; Photoacoustic imaging in biomedicine; Speckle noise; Resolution (logic); Ultrasonic sensor; Acoustics; Physics; Computer science; Artificial intelligence","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":[0.0002836561,0.000193697,0.0002165278,0.0003069478,0.0001139984,0.0005373519,0.0002082049,0.0004087885,0.001021798],"category_scores_gemma":[0.0007780927,0.0001733292,0.0001801106,0.0002649859,0.000734722,0.0006698498,0.0002611059,0.0003560981,0.0002139834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095615,"about_ca_system_score_gemma":0.0001521158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003182325,"about_ca_topic_score_gemma":0.0002662813,"domain_scores_codex":[0.9998715,0.0000337599,0.000005209421,0.00002920094,0.00005017576,0.00001014797],"domain_scores_gemma":[0.9994755,0.00030891,0.00005767548,0.0000816989,0.00005544148,0.00002083069],"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":[0.00007524093,0.00009157871,0.002917882,0.0001385204,0.00001820141,0.0005874261,0.0002783557,0.05901082,0.8146906,0.05767291,0.000676537,0.06384199],"study_design_scores_gemma":[0.00001491005,0.0001561915,0.008632801,0.00003301837,0.00001380292,0.001456931,0.000140699,0.6775002,0.2462613,0.05807098,0.007668868,0.00005035924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2785032,0.001984703,0.7069799,0.0007955671,0.00007010045,0.00002522923,0.0001624187,0.0005670282,0.01091188],"genre_scores_gemma":[0.8941795,0.001551005,0.1006341,0.0001366946,0.00004404578,0.00002440669,0.0001190255,0.00005729311,0.003254004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001021798,"threshold_uncertainty_score":0.003418267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006231932693793055,"score_gpt":0.2096248930732803,"score_spread":0.2033929603794873,"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."}}