{"id":"W4387025216","doi":"10.32920/24192339","title":"Investigating Improvement in Gadolinium Detection for a XRF Bone Measurement System by Averaging Spectrum","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gadolinium; Detection limit; Imaging phantom; Analytical Chemistry (journal); Signal-to-noise ratio (imaging); Nuclear medicine; Mathematics; Materials science; Chemistry; Chromatography; Statistics; Medicine","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":[0.002848888,0.0006931786,0.0006511171,0.0004486362,0.0002919838,0.0008525241,0.001065581,0.001242464,0.001323324],"category_scores_gemma":[0.003669353,0.0004447293,0.0004167735,0.0004439946,0.0003419778,0.0008887757,0.000506677,0.0005027851,0.0005373119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007108299,"about_ca_system_score_gemma":0.0005239639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247088,"about_ca_topic_score_gemma":0.001406372,"domain_scores_codex":[0.9980386,0.000459067,0.00009729061,0.0005610319,0.0007114171,0.0001325006],"domain_scores_gemma":[0.9979074,0.0008005882,0.0002057167,0.0002778189,0.0007426323,0.00006590708],"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":[0.0001682518,0.00006316816,0.0008600597,0.0000817481,0.00001652413,0.0000347179,0.00008312728,0.001131352,0.9727523,0.0002143201,0.0001814521,0.02441308],"study_design_scores_gemma":[0.00002387688,0.0007481364,0.004699748,0.000009887132,0.00005636509,0.0002120241,0.00003157074,0.03456916,0.9559969,0.00009744858,0.00352151,0.00003330838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4539512,0.001281465,0.5397385,0.0003405667,0.0001724081,0.0002270092,0.0001210635,0.002431984,0.001735816],"genre_scores_gemma":[0.5626298,0.0003600303,0.4337979,0.0002087889,0.00005173637,0.0001625085,0.0001769752,0.0002435097,0.002368898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002848888,"threshold_uncertainty_score":0.01506656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905978350111836,"score_gpt":0.2322144978587052,"score_spread":0.2031547143575869,"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."}}