{"id":"W7001237587","doi":"","title":"The influence of CT and dual-energy X-ray absorptiometry (DXA) bone density on quantitative [ <sup>18</sup> F] sodium fluoride PET","year":2019,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Osteoporosis Canada","funders":"","keywords":"Sodium fluoride; Bone density; Densitometry; Sodium","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":[0.003940908,0.0006191428,0.0005685277,0.0003695123,0.000207945,0.0009129355,0.0004370944,0.0006050074,0.001179871],"category_scores_gemma":[0.01251899,0.0006030363,0.0003737807,0.0003719713,0.0009922046,0.0006859328,0.0003150204,0.0004438063,0.0003121375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347907,"about_ca_system_score_gemma":0.000743055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003948577,"about_ca_topic_score_gemma":0.005475589,"domain_scores_codex":[0.9980027,0.00127838,0.00009604527,0.0002092918,0.0003157533,0.00009790354],"domain_scores_gemma":[0.9877952,0.01061608,0.0003798244,0.0005064832,0.0005127199,0.0001896088],"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":[0.06265385,0.000554165,0.121448,0.0005589398,0.0007414655,0.001024987,0.001001314,0.00711375,0.683515,0.000702414,0.000592624,0.1200936],"study_design_scores_gemma":[0.0004177564,0.00737407,0.4676417,0.0001152202,0.001866053,0.003682483,0.0005126714,0.02969753,0.4822843,0.0005759095,0.005746164,0.00008623085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752617,0.01111344,0.007979386,0.0003461121,0.00009033925,0.00004280077,0.0002991324,0.00009324327,0.004773887],"genre_scores_gemma":[0.9930348,0.001791951,0.003004469,0.0001404069,0.00005434546,0.00002023461,0.0001639788,0.0001397783,0.001650117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003948577,"threshold_uncertainty_score":0.02084178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642503659017828,"score_gpt":0.2932049638390507,"score_spread":0.2767799272488724,"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."}}