{"id":"W4256329149","doi":"10.1088/0026-1394/57/1a/06011","title":"Key comparison BIPM.RI(I)-K7 of the air-kerma standards of the NRC, Canada and the BIPM in mammography x-rays","year":2020,"lang":"en","type":"article","venue":"Metrologia","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mutual recognition; Kerma; Standard uncertainty; Key (lock); Mathematics; Mammography; Computer science; Statistics; Nuclear medicine; Measurement uncertainty; Medicine; Computer security; Dosimetry","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":[0.008115802,0.0009435999,0.001144722,0.00772104,0.001732937,0.003384949,0.003432209,0.001224064,0.09093482],"category_scores_gemma":[0.02854348,0.0004350241,0.0007044405,0.009077601,0.0006316193,0.003683369,0.002260858,0.000972669,0.0415706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084305,"about_ca_system_score_gemma":0.008692373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07189371,"about_ca_topic_score_gemma":0.04387527,"domain_scores_codex":[0.986407,0.001712058,0.001090865,0.001245755,0.008496845,0.001047535],"domain_scores_gemma":[0.9674692,0.003958341,0.002097198,0.00426198,0.02156154,0.0006517353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003830865,0.0002169221,0.0103225,0.003675325,0.0001568014,0.0003256276,0.0005441534,0.004735288,0.02850764,0.04236376,0.6948975,0.2104236],"study_design_scores_gemma":[0.0001475351,0.0004688661,0.04569402,0.0005589832,0.00012509,0.0006299025,0.001032031,0.003991561,0.06220835,0.008213559,0.8766864,0.000243652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05894094,0.008426516,0.05591102,0.002800195,0.004055502,0.002491508,0.4579837,0.01214918,0.3972414],"genre_scores_gemma":[0.3675106,0.004278603,0.07064611,0.001340648,0.0005753219,0.002122523,0.4442374,0.005347853,0.1039409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9281063,"threshold_uncertainty_score":0.3042073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008789952160573036,"score_gpt":0.2301731720854994,"score_spread":0.2213832199249263,"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."}}