{"id":"W2062860390","doi":"10.1088/1742-6596/369/1/012022","title":"Finite elements parameterization of optical tomography with the radiative transfer equation in frequency domain","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Chicoutimi","funders":"","keywords":"Inverse problem; Diffuse optical imaging; Finite element method; Radiative transfer; Optical tomography; Tomography; Inversion (geology); Mathematics; Mathematical analysis; Algorithm; Applied mathematics; Computer science; Mathematical optimization; Optics; Physics","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":[0.000599639,0.0006405214,0.0006205941,0.0005613476,0.0003273261,0.0008711772,0.0008482513,0.001049454,0.001550896],"category_scores_gemma":[0.002433185,0.0003574668,0.0008289858,0.0004488587,0.00086737,0.0008954944,0.0006620898,0.001264181,0.0005466356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000543398,"about_ca_system_score_gemma":0.0009363019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483519,"about_ca_topic_score_gemma":0.001721787,"domain_scores_codex":[0.9994901,0.0002045164,0.00002417779,0.00005473275,0.0002034876,0.00002283871],"domain_scores_gemma":[0.9992436,0.0004145918,0.00007652082,0.0001016748,0.0001461117,0.00001753104],"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":[0.00005430836,0.00005284489,0.0006450529,0.0001335303,0.00003470395,0.00005972119,0.000160178,0.8901659,0.02273309,0.04482114,0.0006364758,0.04050308],"study_design_scores_gemma":[0.000004723228,0.00001230614,0.00008435687,0.00001343076,0.000004813135,0.0000358972,0.00002287447,0.9878802,0.003268568,0.006058038,0.002606919,0.000008059269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005447617,0.00008298903,0.9926845,0.0001005599,0.0000219997,0.00002636474,0.00003687986,0.00008508801,0.001513939],"genre_scores_gemma":[0.2920066,0.0003871261,0.7022902,0.0001223846,0.0000401431,0.0003793771,0.0003162823,0.0002325801,0.004225406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002483519,"threshold_uncertainty_score":0.005188227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469377437155291,"score_gpt":0.2869061175157891,"score_spread":0.2622123431442362,"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."}}