{"id":"W2315738213","doi":"10.15420/ecr.2010.6.1.15","title":"Radiation Minimisation and Outcome Maximisation in Cardiac Computed Tomograpy","year":2010,"lang":"en","type":"article","venue":"European Cardiology Review","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Radiation dose; Medical physics; Medicine; Radiation exposure; Computed tomography; Minimisation (clinical trials); Reduction (mathematics); Computer science; Radiology; Risk analysis (engineering); Nuclear medicine; Mathematics","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":[0.007130008,0.0008142483,0.001124076,0.001503934,0.0002713093,0.001292467,0.001175846,0.001029238,0.001087042],"category_scores_gemma":[0.01142673,0.0002403892,0.0005777309,0.0009355985,0.001492065,0.001003334,0.001656424,0.001174288,0.0003397569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119844,"about_ca_system_score_gemma":0.001009042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268674,"about_ca_topic_score_gemma":0.0004355095,"domain_scores_codex":[0.9956394,0.002877543,0.0002548608,0.0002038478,0.0008952587,0.0001290093],"domain_scores_gemma":[0.9963277,0.002745552,0.0004977743,0.0001389253,0.0002200843,0.00006992952],"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":[0.0005928537,0.0001793292,0.005011084,0.004176911,0.000240481,0.0006206305,0.0005833329,0.03374976,0.008059201,0.04831211,0.004355208,0.894119],"study_design_scores_gemma":[0.0009881282,0.006395842,0.07288314,0.00814653,0.001545712,0.02156363,0.002240399,0.1011729,0.05228776,0.4984464,0.2339182,0.0004112377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05106983,0.4332395,0.4762524,0.01259975,0.0005969077,0.0003302238,0.00008205423,0.0004100347,0.02541924],"genre_scores_gemma":[0.6405008,0.1511109,0.1991543,0.001672093,0.001901383,0.000775691,0.0001087457,0.000306505,0.004469625],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007130008,"threshold_uncertainty_score":0.03770757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152051382993318,"score_gpt":0.3023305410535168,"score_spread":0.2808100272235836,"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."}}