{"id":"W4399377126","doi":"10.1016/j.ejmp.2024.103395","title":"Design and implementation of continuous bed motion (CBM) in Xtrim preclinical PET scanner for whole-body Imaging: MC simulation and experimental measurements","year":2024,"lang":"en","type":"article","venue":"Physica Medica","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Scanner; Whole body imaging; Pet imaging; Motion (physics); Computer science; Biomedical engineering; Artificial intelligence; Positron emission tomography; Nuclear medicine; Engineering; 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":[0.0003740245,0.00041931,0.0003664251,0.0002235781,0.0002218779,0.0005202455,0.001064352,0.0006968557,0.002888305],"category_scores_gemma":[0.0007705267,0.0002942446,0.0002173375,0.0002036408,0.0002507004,0.0002493699,0.0002328799,0.000292196,0.0004445583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930595,"about_ca_system_score_gemma":0.001046569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002654339,"about_ca_topic_score_gemma":0.002012787,"domain_scores_codex":[0.9998145,0.000038824,0.000009048636,0.00003342462,0.00008012118,0.0000241783],"domain_scores_gemma":[0.9996622,0.0000946053,0.00004616229,0.00004829409,0.0001186288,0.00003024009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001289886,0.0003395541,0.006933919,0.0007784911,0.0001195411,0.0006471208,0.0003590807,0.7354854,0.1696286,0.005037418,0.002690974,0.07668996],"study_design_scores_gemma":[0.00008683161,0.0005999035,0.003176155,0.00002398057,0.00005793292,0.0002099083,0.00006036372,0.9180288,0.07229324,0.0003205476,0.005104144,0.00003815102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2829653,0.0008107207,0.6997358,0.0005214691,0.0001635228,0.0006356988,0.0006831542,0.002622888,0.01186141],"genre_scores_gemma":[0.875784,0.0001649362,0.1208135,0.00008999979,0.000008228809,0.0002778547,0.0001795769,0.0001688221,0.002513069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002888305,"threshold_uncertainty_score":0.009662271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08116877642626973,"score_gpt":0.4395413869274012,"score_spread":0.3583726105011315,"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."}}