{"id":"W4409386040","doi":"10.1016/j.ejrad.2025.112088","title":"Cost effectiveness of digital breast tomosynthesis for breast cancer screening in a Swedish setting","year":2025,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Skånes universitetssjukhus; Region Skåne; Svenska Läkaresällskapet; Gunnar Nilssons Cancerstiftelse; Crafoordska Stiftelsen; Cancerfonden; University Hospital Foundation; Vetenskapsrådet; Find A Cure Today Breast Cancer Foundation; Swedish Cancer Foundation","keywords":"Medicine; Tomosynthesis; Digital Breast Tomosynthesis; Breast cancer; Medical physics; Breast cancer screening; Mammography; Radiology; Oncology; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003618268,0.001001694,0.001263702,0.001116544,0.0002690876,0.002156432,0.0007983236,0.001250247,0.004450616],"category_scores_gemma":[0.009583674,0.0004744145,0.002669214,0.0008073259,0.0004792312,0.0009740805,0.0008197864,0.0008993089,0.0002118732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004980022,"about_ca_system_score_gemma":0.002715813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142915,"about_ca_topic_score_gemma":0.007091085,"domain_scores_codex":[0.9981489,0.001337791,0.00005021372,0.00008602593,0.0001402446,0.0002367495],"domain_scores_gemma":[0.9957283,0.003532797,0.0003378426,0.00006562258,0.0001572559,0.0001781189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.005979284,0.0003076201,0.01498493,0.000897956,0.001254364,0.0003872417,0.00008309501,0.9498287,0.0004522291,0.00446836,0.001339808,0.02001639],"study_design_scores_gemma":[0.004568634,0.009098157,0.06156914,0.001888142,0.007572245,0.002003053,0.0008957512,0.8780571,0.001845909,0.02446155,0.007797664,0.0002426438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675954,0.007411166,0.00778549,0.002293224,0.0001021766,0.0003122908,0.001815356,0.00008319392,0.01260166],"genre_scores_gemma":[0.9970682,0.0009007068,0.0008753559,0.0001239526,0.00001022133,0.00008402467,0.0003122205,0.000006243846,0.0006191742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142915,"threshold_uncertainty_score":0.03613281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665083577038624,"score_gpt":0.2893154259206223,"score_spread":0.272664590150236,"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."}}