{"id":"W4205606703","doi":"10.1088/0026-1394/59/1a/06005","title":"Comparison BIPM.RI(I)-K6 of the standards for absorbed dose to water of the NRC, Canada and the BIPM in accelerator photon beams","year":2022,"lang":"en","type":"article","venue":"Metrologia","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mutual recognition; Mathematics","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":[0.01257166,0.0009942629,0.001209367,0.01257725,0.002069201,0.003890914,0.00435164,0.001466516,0.06589781],"category_scores_gemma":[0.03670217,0.0007499229,0.00134182,0.01462468,0.0007135018,0.001895126,0.002036151,0.001695866,0.02669385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02451661,"about_ca_system_score_gemma":0.02596544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5363078,"about_ca_topic_score_gemma":0.4769487,"domain_scores_codex":[0.9769759,0.001268717,0.001093061,0.001045154,0.01862664,0.0009906347],"domain_scores_gemma":[0.9333564,0.005151195,0.002767759,0.004559691,0.05309081,0.001074082],"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":[0.001466187,0.0002063758,0.0085241,0.002131696,0.0001327856,0.0001168761,0.0003462009,0.005252768,0.01001276,0.01356569,0.8330215,0.1252231],"study_design_scores_gemma":[0.00009330282,0.0001885605,0.07587864,0.0005785536,0.0001173656,0.0001982692,0.0006323057,0.002441943,0.02559766,0.002974212,0.8910758,0.0002233885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02059841,0.003130093,0.02521066,0.002330962,0.002075517,0.001750912,0.6893315,0.01010826,0.2454637],"genre_scores_gemma":[0.1354382,0.003996099,0.05316066,0.002137999,0.0004029387,0.001869603,0.7006201,0.007908791,0.09446564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5363078,"threshold_uncertainty_score":0.9328461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581874210905435,"score_gpt":0.2700184344692143,"score_spread":0.2541996923601599,"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."}}