{"id":"W2051788617","doi":"10.1016/s0828-282x(10)70333-0","title":"Submillisievert coronary computed tomography angiography using adaptive statistical iterative reconstruction – a new reality","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Radiation dose; Radiology; Coronary angiography; Computed tomography angiography; Computed tomography; Nuclear medicine; Medical physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001968741,0.0003884455,0.0005409327,0.0006001202,0.0001940277,0.00163224,0.00115389,0.001079751,0.001070618],"category_scores_gemma":[0.004450432,0.0005349457,0.00054636,0.0005246181,0.001030496,0.001541365,0.001200163,0.002041479,0.000468856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202314,"about_ca_system_score_gemma":0.0008813408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156014,"about_ca_topic_score_gemma":0.001856023,"domain_scores_codex":[0.9993624,0.0002530175,0.00004144491,0.00007787258,0.0002359185,0.00002933192],"domain_scores_gemma":[0.9980596,0.0008686499,0.0001197292,0.0005404496,0.0002964977,0.0001151061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005812178,0.0001664072,0.01061567,0.0002303146,0.0002093799,0.0005884278,0.0002615488,0.02600762,0.04267264,0.03222913,0.007325836,0.8791118],"study_design_scores_gemma":[0.0001548509,0.0005052175,0.006209619,0.0002201476,0.0002304409,0.007575179,0.0001789668,0.8311847,0.02478364,0.06771469,0.06097775,0.000264732],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03222537,0.007040527,0.9494286,0.005869367,0.0002495297,0.00002716409,0.00004544447,0.0007889244,0.00432498],"genre_scores_gemma":[0.1865147,0.003973667,0.805793,0.0008840122,0.0005115973,0.00003443049,0.00006318675,0.000266592,0.001958827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001968741,"threshold_uncertainty_score":0.0104118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530085584493953,"score_gpt":0.2685007784028631,"score_spread":0.2431999225579236,"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."}}