{"id":"W3008245623","doi":"10.1088/1361-6560/ab78bf","title":"Time-of-flight computed tomography - proof of principle","year":2020,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"FP7 Ideas: European Research Council","keywords":"Image quality; Photon; Optics; Reduction (mathematics); Cone beam computed tomography; Physics; Tomography; Time of flight; Attenuation; Computed tomography; Nuclear medicine; Computer science; Mathematics; Image (mathematics); Computer vision; Medicine; Geometry; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001027289,0.00006512354,0.0003546758,0.00004146631,0.000008178164,3.018208e-7,0.0000627211,0.00004495135,0.00003218665],"category_scores_gemma":[0.00006720169,0.00004359558,0.00002728679,0.0003063044,0.0004482983,0.000008555616,0.0000448395,0.0001211857,6.6404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002407838,"about_ca_system_score_gemma":0.00001976191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404288,"about_ca_topic_score_gemma":1.900063e-7,"domain_scores_codex":[0.9994598,0.00001984858,0.0002412932,0.000137554,0.00005628852,0.00008518951],"domain_scores_gemma":[0.9996076,0.00006977404,0.00008052581,0.000114621,0.00005221243,0.00007533214],"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":[0.0002355504,0.0008591909,0.08978649,0.001394841,0.0001655444,0.0000104834,0.002370162,0.000005226609,0.7556812,0.06719711,0.02406641,0.05822777],"study_design_scores_gemma":[0.01340193,0.01218882,0.02304888,0.002866618,0.0006614641,0.00005657814,0.000513029,0.09432448,0.5751125,0.0679914,0.2090213,0.0008130149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892149,0.001129965,0.04033508,0.06444364,0.00005288378,0.001052573,0.00002760685,0.00009971208,0.003643595],"genre_scores_gemma":[0.9921165,0.00006178364,0.006033743,0.001535112,0.0001690617,0.00001103835,0.00005926001,0.000005061835,0.000008483199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1849549,"threshold_uncertainty_score":0.1777776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150562939249675,"score_gpt":0.4035096247028941,"score_spread":0.2529466854532191,"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."}}