{"id":"W3158259118","doi":"10.1002/mp.14911","title":"Technical Note: Volumetric coverage in breast tomosynthesis images — Phantom QC results from the TMIST study","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Tomosynthesis; Imaging phantom; Mammography; Breast imaging; Iterative reconstruction; Medical imaging; Nuclear medicine; Computer science; Medicine; Artificial intelligence; Breast cancer","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":[0.01317906,0.0004742371,0.0003707883,0.0009252086,0.0003868221,0.0004519545,0.00120021,0.0006135195,0.003289827],"category_scores_gemma":[0.04841961,0.0003414516,0.0004363009,0.0006907728,0.0006915356,0.0004485582,0.0006178651,0.0003117711,0.0008415426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709701,"about_ca_system_score_gemma":0.0004595499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356036,"about_ca_topic_score_gemma":0.001736234,"domain_scores_codex":[0.9931206,0.002513203,0.0007530602,0.0004311808,0.003053976,0.0001280825],"domain_scores_gemma":[0.9482763,0.02741042,0.003422548,0.007540371,0.01272449,0.0006258819],"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":[0.01187462,0.001063711,0.288796,0.001363568,0.0003496131,0.003815425,0.00307096,0.007594289,0.4894466,0.000707928,0.006361325,0.185556],"study_design_scores_gemma":[0.0003657265,0.01140414,0.1947098,0.00007377208,0.0004866433,0.02167768,0.0002849998,0.01176305,0.7426382,0.0003142587,0.01616696,0.0001147711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9012525,0.001074869,0.08888269,0.0008243151,0.0001463826,0.0008920787,0.000912153,0.001320377,0.004694721],"genre_scores_gemma":[0.9261161,0.000215869,0.06844646,0.0004526998,0.00008682781,0.0004164415,0.001441055,0.000561752,0.002262807],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01317906,"threshold_uncertainty_score":0.06969839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127113280389888,"score_gpt":0.2681877015091799,"score_spread":0.256916568705281,"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."}}