{"id":"W2038101867","doi":"10.1016/j.nima.2008.06.030","title":"Comparison of iodine K-edge subtraction and fluorescence subtraction imaging in an animal system","year":2008,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Health Research Foundation","keywords":"Subtraction; Optics; Physics; K-edge; Contrast (vision); Materials science; Shot noise; Image subtraction; Fluorescence; Nuclear magnetic resonance; Image processing; Absorption spectroscopy; Mathematics; Detector; Image (mathematics); Computer science; Artificial intelligence","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":[0.001302353,0.0003202351,0.000329143,0.0006362164,0.0004340781,0.0006257431,0.0006061199,0.0007677894,0.001559782],"category_scores_gemma":[0.00103301,0.0003743091,0.0002507106,0.0002788523,0.0004422246,0.0007057495,0.0002454315,0.0004727719,0.0003206206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753212,"about_ca_system_score_gemma":0.0007980471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026477,"about_ca_topic_score_gemma":0.004089511,"domain_scores_codex":[0.9998206,0.00003173381,0.0000105156,0.00005157483,0.00003874458,0.00004689645],"domain_scores_gemma":[0.9994528,0.0001944218,0.00005470023,0.0000896088,0.0001517406,0.00005673005],"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":[0.001093874,0.00005501059,0.0006473461,0.00008712747,0.00003168995,0.00008724346,0.00008709665,0.0002770451,0.990958,0.0004045501,0.00009598768,0.006175012],"study_design_scores_gemma":[0.0000478383,0.0009534245,0.01233185,0.00001300778,0.0001981222,0.001156204,0.00009222436,0.006993294,0.9753469,0.0002107768,0.002621515,0.00003492682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163139,0.001470089,0.07687233,0.0001879929,0.00008884181,0.000104259,0.0002114141,0.000632333,0.004118857],"genre_scores_gemma":[0.9176195,0.001243,0.07338031,0.0001515323,0.00003133327,0.00009382233,0.0005794173,0.0003496143,0.00655156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003026477,"threshold_uncertainty_score":0.006887555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667372231315731,"score_gpt":0.3954484375558786,"score_spread":0.3287747152427213,"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."}}