{"id":"W3093189897","doi":"10.21037/qims-20-758","title":"Live feedback and 3D photoacoustic remote sensing","year":2020,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Illumisonics (Canada); University of Waterloo","funders":"","keywords":"Frame rate; Optics; Galvanometer; Computer science; Scanner; Materials science; Reflection (computer programming); Confocal; Photoacoustic imaging in biomedicine; Imaging phantom; Microscope; Laser; Computer vision; Artificial intelligence; Physics","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":[0.0004183173,0.0002206174,0.0004621028,0.0001807045,0.00006256765,0.00002845481,0.00004150608,0.00003255883,0.00002928959],"category_scores_gemma":[0.000888713,0.000204845,0.00002743673,0.000271162,0.000270935,0.0001650346,0.00002340264,0.0002855646,0.000007609515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002740714,"about_ca_system_score_gemma":0.0000250593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002055226,"about_ca_topic_score_gemma":0.000006593714,"domain_scores_codex":[0.9988261,0.0000561895,0.0003370019,0.0002860322,0.0001553469,0.0003393725],"domain_scores_gemma":[0.9981586,0.001503042,0.00004252631,0.00008848403,0.0000438397,0.0001635394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000310164,0.00004072796,0.07104211,0.00401014,0.0003237332,0.003725458,0.1106065,0.005588345,0.14297,0.0002976361,0.0667568,0.5943285],"study_design_scores_gemma":[0.000440087,0.00002084981,0.004249601,0.0007216503,0.00004384039,0.00008541383,0.007751149,0.9849283,0.0001412145,0.0002510547,0.001078221,0.0002885987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7359577,0.01592167,0.2381666,0.00605187,0.0005478366,0.000278597,0.00001084979,0.0003823414,0.002682551],"genre_scores_gemma":[0.9877764,0.001457979,0.008290912,0.002300351,0.0001168459,6.6631e-7,0.00000692966,0.00004062549,0.000009318238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.97934,"threshold_uncertainty_score":0.8353339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360004826300253,"score_gpt":0.2655661250106917,"score_spread":0.2295656423806663,"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."}}