{"id":"W3180923929","doi":"10.1177/08465371211025229","title":"Digital Breast Tomosynthesis: Potential Benefits in Routine Clinical Practice","year":2021,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Tomosynthesis; Medicine; Digital Breast Tomosynthesis; Clinical Practice; Radiology; Medical physics; Breast imaging; Workflow; Breast cancer; Mammography; Cancer; Computer science; Internal medicine; Physical therapy","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":[0.001801215,0.0007525876,0.001145304,0.004158062,0.0003987791,0.001837392,0.001047785,0.001577716,0.004356667],"category_scores_gemma":[0.005167106,0.0002464583,0.0005055565,0.003127876,0.00116811,0.0018236,0.000846742,0.001934629,0.001511876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182059,"about_ca_system_score_gemma":0.004474143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117066,"about_ca_topic_score_gemma":0.01914024,"domain_scores_codex":[0.9993033,0.0001291394,0.00009371358,0.0000861118,0.0003458465,0.00004182251],"domain_scores_gemma":[0.9964011,0.001677987,0.0003749298,0.00006850273,0.001307577,0.000170032],"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":[0.00003266381,0.00003516522,0.0005797696,0.01218675,0.00003756615,0.0003164083,0.0001211688,0.0001763553,0.0003336317,0.002750327,0.02028191,0.9631484],"study_design_scores_gemma":[0.00001328268,0.00007043591,0.00364686,0.018634,0.0001319919,0.004060739,0.000302131,0.0001354655,0.0002480517,0.003045219,0.9696677,0.0000440404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001287092,0.9965377,0.0001591228,0.001286188,0.000194083,0.000004514436,0.00001850926,0.000007941813,0.001663208],"genre_scores_gemma":[0.001338044,0.9971902,0.0004100513,0.0004121297,0.0003221444,0.000004084861,0.00002302999,0.000001664889,0.0002986731],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0117066,"threshold_uncertainty_score":0.02327693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224515736321903,"score_gpt":0.3382978681123768,"score_spread":0.3060527107491577,"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."}}