{"id":"W2105721051","doi":"10.1117/1.3599955","title":"Digital optical tomography system for dynamic breast imaging","year":2011,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Office of Science; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Susan G. Komen for the Cure","keywords":"Diffuse optical imaging; Optical tomography; Breast cancer; Computer science; Frame rate; Breast imaging; Dynamic range; Detector; Tomography; Mammography; Medicine; Iterative reconstruction; Radiology; Computer vision; Cancer; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004228405,0.0001784016,0.0005132732,0.0003603782,0.00004969608,0.00006335671,0.0001935275,0.0001153655,0.00002013048],"category_scores_gemma":[0.0001963096,0.0001268547,0.000406982,0.0002612316,0.0004188697,0.0002037198,0.00004273017,0.0003994634,0.000006302975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186234,"about_ca_system_score_gemma":0.0001355475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.75033e-7,"about_ca_topic_score_gemma":4.503494e-8,"domain_scores_codex":[0.9981828,0.00001193015,0.0007383536,0.0001638429,0.0005245286,0.0003785347],"domain_scores_gemma":[0.9984562,0.0001066364,0.0002231182,0.0001931855,0.0004180398,0.0006028222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.006275934,0.01226068,0.06036301,0.004016519,0.002835693,0.007169298,0.00118043,7.579897e-7,0.1361621,0.03655939,0.01286895,0.7203073],"study_design_scores_gemma":[0.05705877,0.05540928,0.1202789,0.02435878,0.01322384,0.3544251,0.01436308,0.152314,0.1278177,0.02502548,0.04923495,0.006490071],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1299692,0.0006379737,0.8371446,0.005027636,0.001491498,0.0006433777,0.0001086394,0.0003875275,0.02458958],"genre_scores_gemma":[0.8423006,0.00001809206,0.1571456,0.0001375947,0.000287328,0.00000351015,0.000007816167,0.00003086266,0.00006860969],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7138172,"threshold_uncertainty_score":0.5172983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009635285832090565,"score_gpt":0.2770890690693691,"score_spread":0.2674537832372786,"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."}}