{"id":"W2091093337","doi":"10.5539/ijc.v3n4p40","title":"Measurement Performance Assessment of Analytical Chemistry Analysis Methods using Sample Exchange Data","year":2011,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; U.S. Department of Energy","keywords":"Chemistry; Random error; Observational error; Variance (accounting); Systematic error; Errors-in-variables models; Component (thermodynamics); Analyte; Experimental data; Statistics; Chromatography; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05184266,0.001543194,0.0007974618,0.001964168,0.001020223,0.001691075,0.002052613,0.002588921,0.0004582],"category_scores_gemma":[0.1210409,0.0006914203,0.00116099,0.001539959,0.001063486,0.001921727,0.001575394,0.0009018201,0.0004695148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479717,"about_ca_system_score_gemma":0.0009431977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499746,"about_ca_topic_score_gemma":0.001630945,"domain_scores_codex":[0.9443465,0.02314798,0.003516804,0.004494609,0.02377842,0.0007157414],"domain_scores_gemma":[0.8818604,0.07896648,0.0096902,0.01245691,0.0166922,0.0003337897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002664412,0.001295703,0.1584766,0.001828375,0.002156528,0.0002555009,0.001274662,0.2010196,0.250036,0.004520718,0.001993304,0.3744785],"study_design_scores_gemma":[0.000113683,0.005170705,0.07727591,0.0001822838,0.0006546205,0.0005847786,0.0003217653,0.3287737,0.5762835,0.003801853,0.006513792,0.0003234534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.308239,0.001699385,0.6844037,0.0004685661,0.0001836526,0.0006494164,0.0004656829,0.001142527,0.002748077],"genre_scores_gemma":[0.8390607,0.0005835343,0.1577078,0.0002276934,0.0000703196,0.0005318258,0.0007210709,0.0002512209,0.0008458499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05184266,"threshold_uncertainty_score":0.2741734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2063201498879983,"score_gpt":0.3876913096012575,"score_spread":0.1813711597132592,"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."}}