{"id":"W2791637592","doi":"10.1117/12.2292274","title":"Automated full-breast photoacoustic tomography with non-uniform illumination","year":2018,"lang":"en","type":"article","venue":"Photons Plus Ultrasound: Imaging and Sensing 2018","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tomography; Imaging phantom; Scanner; Photoacoustic imaging in biomedicine; Optics; Optical tomography; Iterative reconstruction; Photoacoustic effect; Breast imaging; Photoacoustic tomography; Materials science; Biomedical engineering; Computer science; Computer vision; Physics; Mammography; Engineering; Medicine; Breast cancer","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":[0.0006829925,0.0003253208,0.0003663696,0.0003924138,0.0001610584,0.0004401699,0.0008482606,0.0004137926,0.001562693],"category_scores_gemma":[0.001794737,0.0005716202,0.0002388032,0.0004291295,0.0003275481,0.0005351941,0.0006835189,0.000354735,0.0004497379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776733,"about_ca_system_score_gemma":0.0005671324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008115178,"about_ca_topic_score_gemma":0.001438243,"domain_scores_codex":[0.9992679,0.0001331242,0.00003890123,0.0001309445,0.0003733754,0.00005575628],"domain_scores_gemma":[0.99901,0.0003849624,0.0001310461,0.0002752038,0.0001671862,0.00003162588],"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":[0.0003234241,0.0001033156,0.002250027,0.0001105147,0.0000280091,0.0001563695,0.00007440217,0.004884139,0.9285119,0.0005367266,0.000467299,0.06255393],"study_design_scores_gemma":[0.0001018555,0.0006930627,0.01961394,0.00002057023,0.00007125431,0.002678556,0.00003393663,0.0815145,0.8883675,0.0004104096,0.006389755,0.0001046693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4202156,0.0005575298,0.5743663,0.0001849861,0.00003735078,0.0002477012,0.0002816368,0.001886494,0.002222449],"genre_scores_gemma":[0.5362595,0.000249619,0.461125,0.000122359,0.00002696844,0.0002000996,0.0001885085,0.0001408185,0.001687023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001562693,"threshold_uncertainty_score":0.005227685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004061549316027663,"score_gpt":0.1992130644862826,"score_spread":0.195151515170255,"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."}}