{"id":"W3174051643","doi":"10.1021/acs.analchem.0c04625","title":"Reference Protocol to Assess Analytical Performance of Higher Order Structural Analysis Measurements: Results from an Interlaboratory Comparison","year":2021,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Directorate for Biological Sciences; Department for Business, Energy and Industrial Strategy, UK Government","keywords":"Comparability; Chemistry; Protocol (science); Standardization; Benchmark (surveying); Biochemical engineering; Data mining; Computer science; Mathematics","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":[0.05951176,0.003319582,0.002203612,0.005779016,0.004218129,0.003370455,0.004200985,0.004252335,0.009285017],"category_scores_gemma":[0.07258587,0.00192512,0.002347537,0.004089165,0.003761339,0.001894755,0.00397207,0.004598641,0.009278562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214337,"about_ca_system_score_gemma":0.005402007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409911,"about_ca_topic_score_gemma":0.002460789,"domain_scores_codex":[0.9269583,0.02473724,0.009063456,0.007924528,0.02945879,0.00185774],"domain_scores_gemma":[0.9114248,0.01688507,0.005193884,0.02083743,0.04452951,0.001129345],"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":[0.003870176,0.00267919,0.008570383,0.003185296,0.0008453052,0.0007087785,0.003681273,0.004244319,0.8510804,0.009997219,0.0210169,0.09012063],"study_design_scores_gemma":[0.0002667767,0.003824971,0.0110872,0.0007274674,0.0005134067,0.0008073756,0.0005899168,0.007456209,0.8867901,0.003247536,0.08427837,0.0004105534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06978913,0.002741686,0.8809969,0.0009076316,0.00156399,0.01777298,0.007125788,0.007145434,0.01195645],"genre_scores_gemma":[0.08809084,0.003032864,0.8124327,0.001412494,0.0003506002,0.05870672,0.01973278,0.003551661,0.01268933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05951176,"threshold_uncertainty_score":0.3147321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08035332798564535,"score_gpt":0.3856396491193985,"score_spread":0.3052863211337532,"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."}}