{"id":"W2807915975","doi":"10.3747/co.25.3770","title":"Screening for Breast Cancer in 2018—What Should We be Doing Today?","year":2018,"lang":"en","type":"review","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health; Ottawa Hospital","funders":"","keywords":"Overdiagnosis; Medicine; Mammography; Breast cancer; False positive paradox; Breast cancer screening; Medical physics; Digital Breast Tomosynthesis; Breast imaging; Gynecology; Cancer; Radiology; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007717272,0.0005789291,0.002741094,0.0004082358,0.0001125567,0.00005888753,0.0003890618,0.0007327571,0.0005165128],"category_scores_gemma":[0.00008922317,0.0004685359,0.0006759931,0.0004938409,0.0001834928,0.0002824941,0.0002044496,0.001019038,0.00003683877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455916,"about_ca_system_score_gemma":0.001570653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085521,"about_ca_topic_score_gemma":0.0005980332,"domain_scores_codex":[0.9967037,0.0001707066,0.001022164,0.0008578664,0.0003711752,0.0008743561],"domain_scores_gemma":[0.9981311,0.0003735206,0.00054713,0.0004554456,0.0002131234,0.0002796889],"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":[0.0001341987,0.00008748769,0.0001588743,0.009839789,0.0001115691,0.00003580262,0.0001094539,0.000001168103,2.320751e-7,0.00004317439,0.02911651,0.9603617],"study_design_scores_gemma":[0.001081057,0.0003608047,0.00004393766,0.08487343,0.001119299,0.0003664379,0.0001837445,0.00004818418,4.246171e-7,0.00001946093,0.9115207,0.0003825054],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007710884,0.9895645,0.0005374991,0.002448544,0.004667761,0.001914809,0.0003456011,0.00005884262,0.0004547305],"genre_scores_gemma":[0.000009631803,0.9934462,0.001131602,0.0005744738,0.003459921,0.0009102975,0.0001834594,0.00007716337,0.0002072484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9599792,"threshold_uncertainty_score":0.9997767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5489817169719764,"score_gpt":0.5568763592344391,"score_spread":0.007894642262462725,"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."}}