{"id":"W2091850050","doi":"10.1118/1.3002411","title":"Noise power properties of a cone‐beam CT system for breast cancer detection","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Breast cancer; Cone beam ct; Noise (video); Cone beam computed tomography; Medical physics; Medical imaging; Beam (structure); Optics; Cancer detection; Mammography; Cancer; Physics; Medicine; Nuclear medicine; Computed tomography; Radiology; Computer science; Artificial intelligence","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":[0.002645699,0.0006082301,0.0004950369,0.00104292,0.0003431557,0.000757972,0.0005775209,0.0007711602,0.001391861],"category_scores_gemma":[0.009704342,0.0004640484,0.0002630446,0.0008926134,0.0003987823,0.0006557344,0.000371816,0.0003092929,0.0004403921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005193939,"about_ca_system_score_gemma":0.0006450794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404789,"about_ca_topic_score_gemma":0.001453438,"domain_scores_codex":[0.9983178,0.0004017032,0.00007683783,0.0002415704,0.0009107969,0.00005124726],"domain_scores_gemma":[0.9910156,0.005707862,0.0004318772,0.0003816238,0.002291574,0.0001714946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009577876,0.00008810111,0.00924643,0.0003255558,0.00005174157,0.0003628971,0.0002280552,0.01339472,0.9153191,0.0004900062,0.0003393941,0.05919618],"study_design_scores_gemma":[0.00005868503,0.001909622,0.07677237,0.0001212285,0.0002151464,0.002626625,0.0001322713,0.2462974,0.6673711,0.0006422811,0.003700702,0.0001525554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010149,0.00191257,0.3922273,0.000285827,0.00005169384,0.0002676303,0.0002814879,0.0009103575,0.003048249],"genre_scores_gemma":[0.8624276,0.0008298302,0.134007,0.0002561317,0.00002859049,0.0001468483,0.0003782923,0.0002187958,0.001706979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002645699,"threshold_uncertainty_score":0.01399195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828767463130349,"score_gpt":0.2880387966732515,"score_spread":0.259751122041948,"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."}}