{"id":"W4378551728","doi":"10.1007/978-3-031-26062-9_12","title":"K-Edge Imaging in Spectral Photon-Counting Computed Tomography: A Benchtop System Study","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Redlen Technologies (Canada); University of Victoria","funders":"","keywords":"Detector; Photon counting; Attenuation; Contrast (vision); Photon; Energy (signal processing); Optics; Physics; Bismuth; Tomography; Medical imaging; Materials science; Computer science; Artificial intelligence","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":[0.0009088845,0.0003524719,0.0003995097,0.0004651468,0.0004878576,0.001738504,0.00126639,0.0008144241,0.00714023],"category_scores_gemma":[0.0007417628,0.0003469186,0.0002317408,0.0007643576,0.0007005168,0.001947032,0.0005906181,0.0008434682,0.001562974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921376,"about_ca_system_score_gemma":0.0003377963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007122444,"about_ca_topic_score_gemma":0.001163304,"domain_scores_codex":[0.999785,0.00009096557,0.00000761365,0.00004005893,0.00005893389,0.00001753416],"domain_scores_gemma":[0.9995308,0.0002988473,0.00001993544,0.00004466666,0.00008265098,0.0000231743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004179324,0.001999294,0.005458469,0.00133445,0.00007800844,0.003084931,0.001303932,0.007968757,0.441667,0.04246509,0.01044128,0.4800195],"study_design_scores_gemma":[0.0001780702,0.01110867,0.0377849,0.0005175656,0.0002761814,0.02853317,0.002459086,0.04276443,0.6429355,0.0155199,0.2175931,0.0003295226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5613798,0.09554496,0.1852168,0.001501185,0.0005902153,0.0004983151,0.0006776552,0.0009963756,0.1535947],"genre_scores_gemma":[0.7057194,0.04998519,0.09028794,0.0009085588,0.0005030878,0.000166917,0.0006200077,0.001037406,0.1507716],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00714023,"threshold_uncertainty_score":0.02388644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021092859044316,"score_gpt":0.2103881879449379,"score_spread":0.2001772593544948,"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."}}