{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409394,0.0001713012,0.0002340891,0.0004607275,0.0002326571,0.00003535827,0.00004416046,0.00004846925,0.0001004209],"category_scores_gemma":[0.00008567523,0.0001539345,0.00008921444,0.0006111265,0.00009628287,0.0001746109,0.00001596083,0.0002273353,0.000004910543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002510773,"about_ca_system_score_gemma":0.00009427613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002463663,"about_ca_topic_score_gemma":0.000003341196,"domain_scores_codex":[0.9988927,0.00004447625,0.0003072179,0.000291319,0.0002064263,0.0002578801],"domain_scores_gemma":[0.9993155,0.0002023061,0.0000767843,0.0001914883,0.00004823906,0.0001656715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005269335,0.0002179665,0.9721593,0.00007646175,0.00002174739,0.0001771516,0.0007959801,0.000006998928,0.005574209,0.00007425349,0.0196964,0.001146797],"study_design_scores_gemma":[0.004938399,0.0005469351,0.9486863,0.0003503494,0.0001310411,0.005155721,0.0004153282,0.0002987407,0.01971434,0.001343144,0.01785736,0.000562321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826185,0.0008518964,0.00008942944,0.0003861808,0.0000919427,0.01175926,0.000005732834,0.0001015621,0.004095544],"genre_scores_gemma":[0.993422,0.0004421005,0.002216313,0.0004287422,0.0002025979,0.002947816,0.0000295454,0.0000190433,0.0002917857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347302,"threshold_uncertainty_score":0.6277265,"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."}}