{"id":"W2004322225","doi":"10.1088/0026-1394/43/4/s10","title":"Extending<i>E</i><sub>n</sub>for measurement science","year":2006,"lang":"en","type":"article","venue":"Metrologia","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metrology; Statistic; Statistics; Square root; Monte Carlo method; Mathematics; Range (aeronautics); Measurement uncertainty; Root mean square; Mean squared error; Statistical physics; Computer science; Physics; Quantum mechanics; 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":[0.01347236,0.001010664,0.001566045,0.002510121,0.002517926,0.004849909,0.002813782,0.006176574,0.06986698],"category_scores_gemma":[0.04219843,0.0008983262,0.002465057,0.002389129,0.002960966,0.006968625,0.00436865,0.007157158,0.05542258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00233142,"about_ca_system_score_gemma":0.006528586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007041246,"about_ca_topic_score_gemma":0.007702999,"domain_scores_codex":[0.9907583,0.002158815,0.0015629,0.0007652791,0.004121265,0.0006333838],"domain_scores_gemma":[0.947253,0.01233617,0.002073765,0.01618241,0.02088355,0.001271068],"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":[0.0004730671,0.0003013307,0.001653555,0.001042147,0.00004238449,0.0003130315,0.0004022915,0.001161647,0.007261007,0.2145162,0.6096626,0.1631708],"study_design_scores_gemma":[0.00005088124,0.0001112502,0.002877305,0.0004009862,0.00005624815,0.0003723799,0.0001351118,0.0023743,0.00581123,0.1152293,0.8724806,0.0001004113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.008190903,0.002532776,0.2050223,0.08359883,0.07282362,0.0009411874,0.007669512,0.005842263,0.6133785],"genre_scores_gemma":[0.1395979,0.004428896,0.3596116,0.06231153,0.02747441,0.001630966,0.01148534,0.004980724,0.3884786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06986698,"threshold_uncertainty_score":0.2337283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.266023919622216,"score_gpt":0.3922905407410971,"score_spread":0.1262666211188812,"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."}}