{"id":"W2955626121","doi":"10.1088/1681-7575/ab27e5","title":"Establishment of measurement traceability for peptide and protein quantification through rigorous purity assessment—a review","year":2019,"lang":"en","type":"article","venue":"Metrologia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Traceability; Metrology; Computer science; Consistency (knowledge bases); Calibration; Systems engineering; Risk analysis (engineering); Medical physics; Operations research; Management science; Medicine; Engineering; Mathematics; Statistics; Software engineering; Artificial intelligence","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":[0.0009442194,0.0001230987,0.0002922159,0.00001454597,0.00005659748,0.00001223366,0.0001636184,0.00008069964,0.000102294],"category_scores_gemma":[0.000161053,0.0001080245,0.00007205813,0.00008914279,0.0000531715,0.0001027783,0.00004406269,0.0001331174,0.000001841193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206974,"about_ca_system_score_gemma":0.00003901787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003440998,"about_ca_topic_score_gemma":0.000004996577,"domain_scores_codex":[0.9988752,0.00002772505,0.0003783531,0.0003546181,0.000210042,0.0001540464],"domain_scores_gemma":[0.9988707,0.000053188,0.0002890648,0.0005463484,0.0002132821,0.00002746444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007364731,0.0005555921,0.01161681,0.007619474,0.00006177101,1.499421e-7,0.00003196775,0.00001094926,0.9435235,0.02861459,0.0008642922,0.007027316],"study_design_scores_gemma":[0.001168842,0.0003654062,0.004778072,0.0008998858,0.0001755211,0.00000303995,0.00008520128,0.0008356977,0.892179,0.04585147,0.05316857,0.0004892515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267367,0.005338224,0.254338,0.001761605,0.00002883135,0.005427779,0.0001444258,0.000260624,0.00596384],"genre_scores_gemma":[0.8152775,0.000546367,0.1823189,0.00005766673,0.00001145901,0.001599714,0.00003152792,0.00001123713,0.0001456681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08854086,"threshold_uncertainty_score":0.440511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234564719391795,"score_gpt":0.328327075391947,"score_spread":0.2859814281980291,"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."}}