{"id":"W2734631892","doi":"10.1259/bjr.20170307","title":"Breast density scales: the metric matters","year":2017,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Categorical variable; MAMMOGRAPHIC DENSITY; BI-RADS; Mathematics; Receiver operating characteristic; Statistics; Metric (unit); Mean squared error; Scale (ratio); Breast cancer; Medicine; Square root; Mammography; Cancer; Internal medicine; Geometry","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":[0.01534207,0.0005989681,0.001023453,0.001563043,0.0005717256,0.004154476,0.001266574,0.001053082,0.004030981],"category_scores_gemma":[0.1272989,0.0003878743,0.0005830912,0.003553584,0.002878414,0.004463705,0.002078491,0.001987768,0.001746011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009134049,"about_ca_system_score_gemma":0.0007378032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019428,"about_ca_topic_score_gemma":0.001909088,"domain_scores_codex":[0.9877074,0.006533173,0.0009584049,0.001007625,0.003654988,0.0001383471],"domain_scores_gemma":[0.9449577,0.03531468,0.005461068,0.004562075,0.00874527,0.0009592295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004887498,0.00009334845,0.223566,0.001452263,0.0008593538,0.0001684238,0.002364073,0.001852069,0.001960393,0.03249974,0.07178558,0.6629101],"study_design_scores_gemma":[0.0001096619,0.001297572,0.5266318,0.003788434,0.000470215,0.005370129,0.006379173,0.01079379,0.00284734,0.1617805,0.2801489,0.000382463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.2859826,0.1295098,0.2806777,0.2003623,0.01401416,0.0006238976,0.006874194,0.001834489,0.08012096],"genre_scores_gemma":[0.8788978,0.01873937,0.07852019,0.01169841,0.00406297,0.0002806937,0.001306992,0.0005783435,0.005915114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01534207,"threshold_uncertainty_score":0.0811376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009493173604012422,"score_gpt":0.2494978554254375,"score_spread":0.2400046818214251,"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."}}