{"id":"W2013959342","doi":"10.1118/1.1539038","title":"A volumetric method for estimation of breast density on digitized screen‐film mammograms","year":2003,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Terry Fox Foundation","keywords":"Mammography; Imaging phantom; Calibration; Materials science; Wedge (geometry); Biomedical engineering; Optics; Breast cancer; Medicine; Mathematics; Physics; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001480187,0.00108488,0.0008366933,0.007023927,0.0004570285,0.000806972,0.001866802,0.0006835779,0.007905511],"category_scores_gemma":[0.003466835,0.001062588,0.0005601299,0.002872346,0.0005959981,0.0008318147,0.0008946259,0.001029978,0.003074684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550039,"about_ca_system_score_gemma":0.0005289572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196501,"about_ca_topic_score_gemma":0.001942044,"domain_scores_codex":[0.9982665,0.0003324192,0.00009189762,0.0001839419,0.001063454,0.00006191204],"domain_scores_gemma":[0.9980344,0.0009658254,0.0002259693,0.0002400824,0.0004773927,0.00005626243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000333626,0.0001660875,0.006570626,0.001668039,0.0002279806,0.0003681713,0.0001593123,0.005031766,0.2572032,0.01068392,0.01458395,0.7030033],"study_design_scores_gemma":[0.000347004,0.002012386,0.07092573,0.0009615147,0.0006770238,0.02874713,0.0003179676,0.1762635,0.359781,0.02160265,0.3371764,0.001187705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004380795,0.002850241,0.9860589,0.0000628875,0.0002448776,0.0005839264,0.0009791902,0.002763771,0.002075508],"genre_scores_gemma":[0.03546748,0.002935624,0.9543242,0.0001033907,0.0001436323,0.001468035,0.001120818,0.0004793307,0.003957469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007905511,"threshold_uncertainty_score":0.02644658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454132907119175,"score_gpt":0.2943345901540295,"score_spread":0.2797932610828378,"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."}}