{"id":"W4390978956","doi":"10.1515/pac-2022-1203","title":"A brief guide to measurement uncertainty (IUPAC Technical Report)","year":2024,"lang":"en","type":"article","venue":"Pure and Applied Chemistry","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Institute of Standards and Technology","keywords":"Chemical nomenclature; Measurement uncertainty; Range (aeronautics); Expression (computer science); Chemistry; Uncertainty analysis; Bayesian probability; Management science; Computer science; Statistics; Artificial intelligence; Mathematics; Engineering","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":[0.009449443,0.00281202,0.00210902,0.007934833,0.001308026,0.005742871,0.00408395,0.004085741,0.08157533],"category_scores_gemma":[0.02915921,0.001831776,0.0016175,0.00748408,0.002535545,0.005582847,0.003395121,0.006634922,0.06294031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293072,"about_ca_system_score_gemma":0.004302997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003479034,"about_ca_topic_score_gemma":0.002447189,"domain_scores_codex":[0.9901431,0.003491409,0.0009642213,0.00108054,0.004063246,0.0002575353],"domain_scores_gemma":[0.9831926,0.01050599,0.0008217579,0.001532752,0.00373948,0.0002074969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005174051,0.00008595975,0.000321815,0.003321381,0.0000492945,0.0003249837,0.0003109695,0.003012599,0.001249792,0.1430011,0.5620309,0.2862396],"study_design_scores_gemma":[0.000004574973,0.00005261548,0.0002767304,0.0011013,0.000009608976,0.0002909634,0.00005701185,0.0006806216,0.0004658027,0.05669104,0.9403218,0.00004782418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001265098,0.2300784,0.5149661,0.01704896,0.02043578,0.001701318,0.02642403,0.005934524,0.1821459],"genre_scores_gemma":[0.01911961,0.2924349,0.4503133,0.01467408,0.02083453,0.006303671,0.03457503,0.005110631,0.1566342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08157533,"threshold_uncertainty_score":0.2728967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289934294574859,"score_gpt":0.2762264630383219,"score_spread":0.2633271200925733,"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."}}