{"id":"W2551955179","doi":"","title":"The Jubilant DraxImage SMART-FILL® Dispensing System: An Evaluation of the Accuracy and Precision of the Dispensing System","year":2016,"lang":"en","type":"article","venue":"","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Repeatability; Volume (thermodynamics); Relative standard deviation; Standard deviation; Accuracy and precision; Replicate; Range (aeronautics); Biomedical engineering; Analytical Chemistry (journal); Computer science; Materials science; Mathematics; Chemistry; Statistics; Chromatography; Physics; Engineering; Thermodynamics; Composite material; Detection limit","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003006492,0.0001382196,0.0002410551,0.00005578925,0.0006213473,0.00007324477,0.0004799188,0.00007033977,0.00001127647],"category_scores_gemma":[0.001257029,0.00004874527,0.00007106221,0.0002418049,0.0006361405,0.0002280178,0.000381784,0.00006022461,0.000009159951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151579,"about_ca_system_score_gemma":0.0000456614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008352134,"about_ca_topic_score_gemma":0.0003647476,"domain_scores_codex":[0.9975939,0.0006848957,0.0005018018,0.0002805888,0.000719544,0.0002192248],"domain_scores_gemma":[0.9974079,0.0007064482,0.000574365,0.0009751583,0.0003078472,0.00002828612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003176414,0.00002333785,0.01591445,0.00008260992,0.00002366121,2.223561e-7,0.0007013282,0.00001366723,0.9532626,0.0144599,0.0001798954,0.01530663],"study_design_scores_gemma":[0.001288863,0.00009917526,0.59466,0.001615822,0.0003282595,0.00007550213,0.01228009,0.01285753,0.3748347,0.001230475,0.0004231963,0.0003063609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966395,0.000164922,0.0001262087,0.0007514498,0.0006372095,0.0007547186,0.00001826358,0.00008487769,0.0008228222],"genre_scores_gemma":[0.9997416,0.00001868489,0.0001379022,0.00001260022,0.00002237034,0.000009108942,2.430877e-7,0.00001418572,0.000043277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5787456,"threshold_uncertainty_score":0.4778964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720167023259824,"score_gpt":0.2701358471607395,"score_spread":0.2429341769281413,"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."}}