{"id":"W3024086030","doi":"10.1002/pmic.201900353","title":"DrawAlignR: An Interactive Tool for Across Run Chromatogram Alignment Visualization","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Genomics Institute; Genome Canada","keywords":"Computer science; Visualization; Software; Source code; Data mining; Open source; Plot (graphics); Code (set theory); Analyte; Open source software; Raw data; Chromatography; Chemistry; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008235883,0.0001873569,0.0001848021,0.00001132512,0.0002076337,0.000102263,0.0002704572,0.0001270775,0.00006622367],"category_scores_gemma":[0.00006526098,0.000201255,0.00008701122,0.0001010319,0.00004438044,0.0002445024,0.0001034947,0.0001260762,0.00001287491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104916,"about_ca_system_score_gemma":0.00003350927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000964787,"about_ca_topic_score_gemma":0.000001973644,"domain_scores_codex":[0.9988678,0.000008889358,0.0003092914,0.0004202833,0.0001150768,0.0002786272],"domain_scores_gemma":[0.9992552,0.00002878235,0.0001964977,0.0002974386,0.0001019962,0.0001200723],"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":[0.0001805901,0.0001735795,0.0004256736,0.0001826667,0.00003366557,9.088474e-7,0.001748191,0.0001486488,0.9810027,0.01036531,0.0002432148,0.005494813],"study_design_scores_gemma":[0.0005013599,0.0001027578,0.000007896083,0.00002431928,0.00001231135,0.000003031041,0.0002838229,0.01927582,0.9573163,0.005888463,0.01630124,0.000282617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.306361,0.000009631599,0.6913073,0.0003792411,0.00001547544,0.001079888,0.0002120046,0.0003843108,0.0002511689],"genre_scores_gemma":[0.7108852,0.00002484417,0.2847191,0.0006093755,0.0002683322,0.00297592,0.0003719981,0.00006916127,0.00007603549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4065882,"threshold_uncertainty_score":0.8206939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060161166589898,"score_gpt":0.3414573254214769,"score_spread":0.320855713755578,"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."}}