{"id":"W2063397230","doi":"10.1118/1.4888350","title":"SU‐E‐T‐20: A Novel Hybrid CBCT, Bioluminescence and Fluorescence Tomography System for Preclinical Radiation Research","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Regional Laboratory Medicine Program","funders":"","keywords":"Imaging phantom; Optics; Optical tomography; Diffuse optical imaging; Multispectral image; Calibration; Physics; Scanner; Materials science; Tomography; Computer science; Computer vision","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":[0.001190056,0.0006604865,0.0005965548,0.000923944,0.000183965,0.0006806043,0.001606576,0.0008949924,0.002223556],"category_scores_gemma":[0.0007050494,0.0004698627,0.0003945444,0.0005231074,0.0003681763,0.0009038635,0.0006476578,0.000518428,0.0009456402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050846,"about_ca_system_score_gemma":0.0006851687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004234833,"about_ca_topic_score_gemma":0.0008411602,"domain_scores_codex":[0.9994491,0.00007251499,0.0000304627,0.0001246367,0.0002881553,0.00003509915],"domain_scores_gemma":[0.9995126,0.00007644271,0.0001045386,0.00008473405,0.0001325826,0.00008915385],"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":[0.0002816719,0.0001405655,0.001398221,0.0002224196,0.00004300917,0.0001619863,0.00003016127,0.0009208412,0.9506842,0.0005347376,0.00146524,0.04411687],"study_design_scores_gemma":[0.0001899688,0.002932994,0.01181934,0.00006373652,0.000259914,0.006222636,0.00003096303,0.05238226,0.8859767,0.0004223892,0.03952391,0.0001750695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2048602,0.00593265,0.7743585,0.0004361379,0.00023502,0.0005128156,0.001011338,0.007976932,0.004676423],"genre_scores_gemma":[0.4247217,0.002153884,0.5614189,0.0005760834,0.0001204299,0.0007340786,0.001925658,0.0005140993,0.007835064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002223556,"threshold_uncertainty_score":0.00743854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660808331946326,"score_gpt":0.3908897199086661,"score_spread":0.3442816365892029,"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."}}