{"id":"W4235748861","doi":"10.1364/ecbo.2009.7369_0t","title":"Impact of the Measurement Model Deviations on Fluorescence Diffuse Optical Tomography","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Diffuse optical imaging; Diffusion; Optical tomography; Tomography; Boundary (topology); Fluorescence; Physics; Heavy traffic approximation; Optics; Computational physics; Statistical physics; Materials science; Mathematics; Mathematical analysis; Statistics; Thermodynamics","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":[0.01153809,0.001365681,0.001603522,0.0007206656,0.0009231648,0.002309464,0.001747859,0.00303188,0.0009162098],"category_scores_gemma":[0.06458786,0.0007129374,0.001038951,0.0008015533,0.002699823,0.003521867,0.002992621,0.004742057,0.0002792517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897998,"about_ca_system_score_gemma":0.001313439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221612,"about_ca_topic_score_gemma":0.001020385,"domain_scores_codex":[0.9921439,0.004190133,0.0003308341,0.0009880312,0.001972307,0.0003748745],"domain_scores_gemma":[0.9630644,0.0294309,0.002127018,0.003257215,0.001498642,0.0006217278],"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":[0.0007518863,0.0001093901,0.004635941,0.0003634045,0.0001308309,0.0007270909,0.0001746996,0.7900997,0.01992822,0.1669086,0.001410143,0.01476003],"study_design_scores_gemma":[0.00003368548,0.00005015572,0.0008513483,0.00004298433,0.00003171364,0.00024232,0.00003136109,0.9246048,0.01268962,0.06079603,0.0005494559,0.00007662537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2704913,0.002826632,0.7148493,0.004439222,0.0003196051,0.0000516777,0.0005828153,0.000786932,0.005652458],"genre_scores_gemma":[0.9619771,0.0006957853,0.03533527,0.0003966375,0.00006897431,0.00006125301,0.0003093615,0.0003099282,0.0008457203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01153809,"threshold_uncertainty_score":0.06101996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214915689387147,"score_gpt":0.3473285016193162,"score_spread":0.3051793447254447,"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."}}