{"id":"W4309928785","doi":"10.1002/mp.16101","title":"Xenon‐enhanced dual‐energy tomosynthesis for functional imaging of respiratory disease—Concept and phantom study","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Imaging phantom; Tomosynthesis; Materials science; Nuclear medicine; Biomedical engineering; Xenon; Medical imaging; Medicine; Physics; Radiology; Mammography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000852975,0.000416274,0.0001752055,0.0003506904,0.000105836,0.0004037397,0.0004867372,0.0006143692,0.001003913],"category_scores_gemma":[0.0006169484,0.0002538186,0.0001965075,0.0002098171,0.0003445563,0.0004338302,0.0002775947,0.00018596,0.0001793217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241883,"about_ca_system_score_gemma":0.0002356296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003858112,"about_ca_topic_score_gemma":0.0002683237,"domain_scores_codex":[0.9998728,0.00005828791,0.000005449519,0.00002249553,0.00002953003,0.00001140734],"domain_scores_gemma":[0.9996955,0.0001714504,0.00004343242,0.00003118987,0.00003691096,0.00002146584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000486067,0.000209593,0.001499444,0.0003314879,0.00002421763,0.0004198758,0.00007586982,0.007833408,0.973316,0.001632484,0.0002643734,0.01390734],"study_design_scores_gemma":[0.0001235342,0.002682777,0.006475227,0.00006806682,0.0001094902,0.003789583,0.00008571641,0.09363539,0.8827912,0.0005566225,0.009612004,0.00007053921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6997756,0.006345454,0.2871509,0.0007703623,0.00008604792,0.0004448098,0.0002797958,0.0006453262,0.004501628],"genre_scores_gemma":[0.846378,0.002143405,0.147429,0.0001729793,0.0000350627,0.0002656441,0.000231091,0.00006376499,0.003280926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003913,"threshold_uncertainty_score":0.004510999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232910719580731,"score_gpt":0.2908471410527813,"score_spread":0.2685180338569739,"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."}}