{"id":"W1984013746","doi":"10.1088/0031-9155/57/22/7443","title":"Volumetric breast density characteristics as determined from digital mammograms","year":2012,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Breast density; Volume (thermodynamics); Mammography; MAMMOGRAPHIC DENSITY; Digital mammography; Breast tissue; Nuclear medicine; Medicine; Breast cancer; Mathematics; Materials science; Biomedical engineering; Physics; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0008303516,0.0002425805,0.0002629654,0.001909451,0.0001336955,0.0006889779,0.000303686,0.0002035432,0.001058293],"category_scores_gemma":[0.005438021,0.0001633916,0.0001731022,0.0008862351,0.0002370438,0.0002333524,0.000314845,0.000124123,0.0003912083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003817178,"about_ca_system_score_gemma":0.0002052733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004097234,"about_ca_topic_score_gemma":0.004450642,"domain_scores_codex":[0.9994985,0.00008210898,0.00003125485,0.00008914673,0.0002717009,0.00002742339],"domain_scores_gemma":[0.998805,0.0005020845,0.0002248036,0.0000992199,0.0003356588,0.00003314543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009215624,0.00004797909,0.71701,0.0002322489,0.0001745851,0.000250369,0.0004365928,0.008626109,0.05030044,0.0008791212,0.001496923,0.219624],"study_design_scores_gemma":[0.00003809414,0.0001692334,0.9208086,0.00004090039,0.00009389823,0.001980369,0.0002495568,0.02706356,0.04356587,0.000747564,0.005186881,0.00005554899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518496,0.0009420587,0.04020762,0.00005699282,0.00001998742,0.000140152,0.002587497,0.0004996429,0.003696487],"genre_scores_gemma":[0.9745888,0.0003271037,0.02213343,0.00003232726,0.00001370791,0.00007150153,0.001566478,0.00005776824,0.001209005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004097234,"threshold_uncertainty_score":0.008146763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09217935609834818,"score_gpt":0.3383175890433535,"score_spread":0.2461382329450053,"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."}}