{"id":"W1994411235","doi":"10.1117/1.3290818","title":"Real-time diffuse optical tomography based on structured illumination","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Frame rate; Digital micromirror device; Detector; Diffuse optical imaging; Tomographic reconstruction; Optics; Computer science; Optical tomography; Tomography; Frame (networking); Iterative reconstruction; Digital imaging; Resolution (logic); Materials science; Computer vision; Artificial intelligence; Image processing; Digital image; Physics; Image (mathematics); Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005559803,0.0001804669,0.0004531646,0.0005094371,0.00005027924,0.00004432887,0.0001771424,0.0002821023,0.0002236859],"category_scores_gemma":[0.0009639882,0.000123988,0.0002644015,0.0003691365,0.0005283809,0.00007454964,0.00002181028,0.00110857,0.00001283935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005130548,"about_ca_system_score_gemma":0.0001807901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000145269,"about_ca_topic_score_gemma":2.279965e-7,"domain_scores_codex":[0.9979241,0.00003171547,0.000595843,0.0001649465,0.0009926833,0.0002907232],"domain_scores_gemma":[0.9982719,0.0002431023,0.0002157188,0.0002849216,0.0003458318,0.000638527],"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":[0.0004009192,0.001848559,0.0009615565,0.00005398734,0.00007560213,0.0003807045,0.00004422496,0.000001191938,0.9799042,0.002225766,0.003805507,0.01029776],"study_design_scores_gemma":[0.0245867,0.03595627,0.1044351,0.001870126,0.002199217,0.003814259,0.0001927849,0.1618256,0.6330547,0.009421499,0.02086779,0.001775975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973554,0.000009575835,0.009150618,0.009497425,0.0006958206,0.00018459,0.000008853545,0.000123356,0.006775735],"genre_scores_gemma":[0.7730619,0.00003255654,0.2255788,0.0005511881,0.0006459707,0.000001410363,0.00001174935,0.00002617079,0.00009016228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3468495,"threshold_uncertainty_score":0.5056085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005509910124911261,"score_gpt":0.2852656418676026,"score_spread":0.2797557317426913,"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."}}