{"id":"W4308295886","doi":"10.1186/s41824-022-00152-3","title":"Attenuation correction for PET/MRI to measure tracer activity surrounding total knee arthroplasty","year":2022,"lang":"en","type":"article","venue":"European Journal of Hybrid Imaging","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correction for attenuation; Nuclear medicine; Implant; Medicine; Total knee arthroplasty; Fluorodeoxyglucose; Magnetic resonance imaging; Positron emission tomography; Biomedical engineering; Radiology; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002310433,0.0001957374,0.0003513257,0.0003522001,0.000485971,0.00006448893,0.00007040623,0.000001765829,0.0001699954],"category_scores_gemma":[0.0006786165,0.0001921458,0.0002843017,0.0002208721,0.00003662199,0.0004475889,0.000101261,0.0006058859,0.00003840498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599839,"about_ca_system_score_gemma":0.0001301544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003821297,"about_ca_topic_score_gemma":0.000001396511,"domain_scores_codex":[0.997807,0.0004923762,0.0004942618,0.0002504069,0.0006296774,0.0003262732],"domain_scores_gemma":[0.9986795,0.0001914559,0.0004340115,0.0001930361,0.0002803367,0.0002217002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007649764,0.001153219,0.1589291,0.0001723439,0.0006425813,0.01446903,0.003003702,0.02542137,0.1271502,0.00002544685,0.1007614,0.5606218],"study_design_scores_gemma":[0.01662405,0.005419786,0.5417704,0.000616205,0.0006882424,0.2263441,0.00544752,0.02082441,0.01018755,0.00001356223,0.1709682,0.001095937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324885,0.0001285966,0.05782311,0.003512412,0.004711939,0.0004087606,0.00001641384,0.0000538864,0.0008563923],"genre_scores_gemma":[0.9948093,0.000003090268,0.002647415,0.000356447,0.0006023158,0.000006037636,0.000006049292,0.0000798643,0.001489503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5595258,"threshold_uncertainty_score":0.7835479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815079751550442,"score_gpt":0.2571908304792226,"score_spread":0.2390400329637182,"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."}}