{"id":"W2026723510","doi":"10.3791/4050","title":"Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers","year":2012,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Diffuse optical imaging; Fluorescence; Materials science; Fluorescence-lifetime imaging microscopy; Optics; Photomultiplier; Tomography; Absorption (acoustics); Biomedical engineering; Near-infrared spectroscopy; Preclinical imaging; Detector; Physics; In vivo; Medicine","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":[0.0004874288,0.0004383031,0.0002821051,0.0004920693,0.0001370571,0.0003576173,0.0004050174,0.0005100238,0.001105152],"category_scores_gemma":[0.0005021211,0.0003390638,0.0002640568,0.0003276311,0.0003884712,0.0003964862,0.0003043343,0.0007525994,0.0003691678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004944578,"about_ca_system_score_gemma":0.0006198189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178107,"about_ca_topic_score_gemma":0.001811686,"domain_scores_codex":[0.9998922,0.00002779238,0.000005214142,0.00003043728,0.00003348312,0.0000107531],"domain_scores_gemma":[0.999782,0.00007428401,0.00006359886,0.00003254082,0.0000256644,0.00002189948],"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":[0.0001279928,0.00002005187,0.0002147544,0.00009326074,0.000006325211,0.0001297871,0.00002778873,0.001616344,0.9906514,0.00119966,0.0002330537,0.005679581],"study_design_scores_gemma":[0.0001069386,0.0007195569,0.002866826,0.0001071373,0.00008122234,0.002205111,0.00004846318,0.06691768,0.9128819,0.0007441091,0.01327279,0.00004816461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1885761,0.004248471,0.7997892,0.0008122856,0.00009465367,0.0004646748,0.0005777754,0.000996692,0.004440072],"genre_scores_gemma":[0.5099631,0.005302726,0.4791124,0.0003160427,0.00003497869,0.000613288,0.0004736554,0.0001496137,0.004034138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001178107,"threshold_uncertainty_score":0.003697097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321630288253437,"score_gpt":0.4303722516633537,"score_spread":0.39820922283801,"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."}}