{"id":"W2040755377","doi":"10.1053/j.sult.2008.05.004","title":"Pediatric Positron Emission Tomography–Computed Tomography Protocol Considerations","year":2008,"lang":"en","type":"article","venue":"Seminars in Ultrasound CT and MRI","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Children's Hospital","funders":"","keywords":"Positron emission tomography; Computed tomography; Positron Emission Tomography-Computed Tomography; Tomography; Medical physics; Positron emission; Medicine; Computed tomography laser mammography; Nuclear medicine; Radiology; Preclinical imaging; Limiting; Engineering","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":[0.01073952,0.0005121808,0.000570151,0.0008141195,0.0006634652,0.001693823,0.001862146,0.001689819,0.01299187],"category_scores_gemma":[0.02239224,0.0005546969,0.0005681677,0.0006716311,0.0006435043,0.001369322,0.0005463531,0.002369194,0.003037721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433969,"about_ca_system_score_gemma":0.002842892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089688,"about_ca_topic_score_gemma":0.004558002,"domain_scores_codex":[0.9962119,0.002294281,0.0005806207,0.0001788662,0.0006013836,0.0001329918],"domain_scores_gemma":[0.9882039,0.00702674,0.001169815,0.0008098677,0.002310026,0.0004797001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002833571,0.000687163,0.02432671,0.001831894,0.0001993984,0.007475317,0.001518124,0.0116925,0.03006002,0.05459319,0.2208769,0.6439053],"study_design_scores_gemma":[0.0004129246,0.001689659,0.02914935,0.002311551,0.0004287758,0.02463998,0.001412239,0.01042911,0.03530813,0.01722165,0.8768915,0.000105203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09754869,0.02508552,0.4868324,0.1627882,0.00577424,0.008837188,0.003064707,0.005917653,0.2041515],"genre_scores_gemma":[0.3083723,0.01789197,0.5911801,0.03665765,0.002984778,0.0089642,0.002307539,0.002154391,0.02948701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01299187,"threshold_uncertainty_score":0.05679667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013936067254335,"score_gpt":0.2675066627681018,"score_spread":0.2573673020955584,"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."}}