{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008359,0.00050306,0.0005469864,0.001166133,0.0004922021,0.0007835967,0.0009052468,0.0009082344,0.04067596],"category_scores_gemma":[0.001691932,0.0003153708,0.0002661549,0.0009060782,0.0003302541,0.000769249,0.000970921,0.00102396,0.009763911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007475701,"about_ca_system_score_gemma":0.0008870528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005249555,"about_ca_topic_score_gemma":0.0008316483,"domain_scores_codex":[0.999248,0.0001357222,0.00004406624,0.0001666157,0.0003540662,0.0000515506],"domain_scores_gemma":[0.9991193,0.0002247495,0.00005913277,0.0001551261,0.0003728157,0.00006886237],"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":[0.001051798,0.0002584788,0.002697703,0.0007779368,0.00007163065,0.0005796035,0.0002106087,0.001066757,0.4808816,0.01682305,0.07101448,0.4245663],"study_design_scores_gemma":[0.0004698928,0.0009310707,0.007304456,0.0002183738,0.0001916937,0.007123207,0.00008658229,0.0369391,0.250925,0.00355772,0.6920444,0.0002083844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02695919,0.004593649,0.8940515,0.002091098,0.001859829,0.001639347,0.002692929,0.01550803,0.05060451],"genre_scores_gemma":[0.1773288,0.002548848,0.7313889,0.002978774,0.0004697472,0.002211529,0.002315621,0.000728809,0.08002898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04067596,"threshold_uncertainty_score":0.1360747,"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."}}