{"id":"W1973942508","doi":"10.1364/boe.3.002794","title":"Self-calibrated algorithms for diffuse optical tomography and bioluminescence tomography using relative transmission images","year":2012,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; McMaster University Medical Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Diffuse optical imaging; Jacobian matrix and determinant; Optics; Tomography; Diffusion equation; Photon diffusion; Transmission (telecommunications); Calibration; Physics; Algorithm; Iterative reconstruction; Optical tomography; Optical transfer function; Computer science; Mathematics; Computer vision; Light source","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":[0.001769013,0.0006605948,0.0006735271,0.0009047152,0.0003040513,0.001110848,0.00161973,0.001000249,0.002829205],"category_scores_gemma":[0.004161032,0.0006598526,0.0009352922,0.0007741728,0.0006135014,0.001271474,0.001257054,0.001417936,0.0009567687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008935095,"about_ca_system_score_gemma":0.001028629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565901,"about_ca_topic_score_gemma":0.001788072,"domain_scores_codex":[0.999225,0.0001739849,0.00005524689,0.0001299287,0.0003837993,0.00003202675],"domain_scores_gemma":[0.9986693,0.0004770226,0.0001753306,0.0002356672,0.0004066357,0.00003596127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001331688,0.00009417629,0.000890939,0.0002389843,0.0001013819,0.00008467896,0.0002351192,0.5116206,0.0717735,0.05968164,0.002414712,0.3527311],"study_design_scores_gemma":[0.00000975803,0.00001983853,0.0001724499,0.000008702261,0.000007280864,0.00007487676,0.0000114262,0.9827914,0.01064524,0.004103656,0.002138639,0.00001673377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001020415,0.00001928066,0.9985423,0.0000104819,0.000003700249,0.00001279912,0.000008263277,0.0002270768,0.0001557087],"genre_scores_gemma":[0.01993429,0.00007659415,0.978713,0.00002026638,0.000005716678,0.00009675808,0.00009280063,0.0001679393,0.0008926979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002829205,"threshold_uncertainty_score":0.009464622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221418167559085,"score_gpt":0.3157448543739577,"score_spread":0.2936030376180492,"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."}}