{"id":"W2271413703","doi":"10.1007/978-88-470-5752-4_22","title":"Dose-Lowering Strategies in Computed Tomography Imaging of the Lung and Heart","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Medical radiation; Confounding; Computed tomography; Hounsfield scale; Ionizing radiation; Lung cancer; Cohort; Nuclear medicine; Radiology; Radiation exposure; Retrospective cohort study; Medical imaging; Medical physics; Internal 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":[0.0005191715,0.0007903618,0.0006280926,0.0007924795,0.0002900831,0.001305446,0.0009872707,0.001257196,0.01370572],"category_scores_gemma":[0.001010579,0.0003049649,0.0004374658,0.0006908358,0.000739395,0.001316461,0.000618839,0.002478327,0.00379788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110503,"about_ca_system_score_gemma":0.0007382568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001527706,"about_ca_topic_score_gemma":0.004008275,"domain_scores_codex":[0.9998339,0.00004327033,0.000009289461,0.00002064663,0.00008083083,0.00001195633],"domain_scores_gemma":[0.9996918,0.0002315788,0.00001580204,0.00001042115,0.00003699801,0.00001338712],"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":[0.00004284895,0.00007147669,0.0001591669,0.001215726,0.00002927473,0.0002770756,0.0002584235,0.002540599,0.002272335,0.1212107,0.1928684,0.6790539],"study_design_scores_gemma":[0.00001146707,0.00004214969,0.0004640689,0.001012993,0.00002477685,0.001868339,0.00007890597,0.0008601609,0.001098964,0.07455307,0.919961,0.0000241466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001558653,0.6548423,0.06576908,0.01301885,0.005104154,0.00007489909,0.0002351534,0.0004369549,0.25896],"genre_scores_gemma":[0.02586842,0.577684,0.0691907,0.01503268,0.006464862,0.000219378,0.0003389022,0.0005095823,0.3046914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370572,"threshold_uncertainty_score":0.04585022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833438287959118,"score_gpt":0.2695995333905722,"score_spread":0.2512651505109811,"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."}}