{"id":"W4388265018","doi":"10.3390/curroncol30110686","title":"Effect of Breast Screening Regimen on Breast Cancer Outcomes: A Modeling Study","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Medicine; Breast cancer; Cancer; Stage (stratigraphy); Absolute risk reduction; Cohort; Breast cancer screening; Regimen; Internal medicine; Mortality rate; Demography; Oncology; Confidence interval; Mammography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.004450357,0.001047554,0.001089819,0.0007573637,0.0004771663,0.0008363027,0.0016379,0.001329775,0.00279834],"category_scores_gemma":[0.01060672,0.0004836042,0.001643517,0.0009845771,0.0004551527,0.0005078609,0.0005136502,0.001016351,0.0002990915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003421849,"about_ca_system_score_gemma":0.002436464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1373813,"about_ca_topic_score_gemma":0.09651251,"domain_scores_codex":[0.9984611,0.0009732202,0.00003438834,0.0001394829,0.000105715,0.0002860391],"domain_scores_gemma":[0.9852732,0.01228257,0.001086807,0.000476618,0.0006075926,0.0002732126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004618495,0.004203189,0.1482683,0.0002468044,0.001363545,0.0003097683,0.0002563046,0.8176559,0.001318343,0.002679727,0.002580252,0.01649944],"study_design_scores_gemma":[0.0008218139,0.002616128,0.04587469,0.00005992349,0.0008812137,0.0001214632,0.0001934885,0.9464044,0.000715834,0.001105462,0.001137938,0.00006755871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929305,0.0004409605,0.002854535,0.0003347158,0.00001740344,0.00014753,0.001389903,0.00005029772,0.001834156],"genre_scores_gemma":[0.9949391,0.0004120626,0.001987747,0.0001135041,0.00001574006,0.0001601805,0.0007907664,0.00001653863,0.001564451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373813,"threshold_uncertainty_score":0.2731632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2267491476107247,"score_gpt":0.5008846033475719,"score_spread":0.2741354557368472,"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."}}