{"id":"W2896317839","doi":"10.1101/438309","title":"DIAlignR provides precise retention time alignment across distant runs in DIA and targeted proteomics","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Residual; Computer science; Elution; Pairwise comparison; Artificial intelligence; Algorithm; Chromatography; Chemistry","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":[0.003569766,0.001490547,0.001084046,0.001552508,0.000737216,0.002280822,0.001397808,0.001037949,0.002876557],"category_scores_gemma":[0.006082254,0.0007746211,0.001075751,0.001564229,0.0005707298,0.001395819,0.001966522,0.001953737,0.004117718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151469,"about_ca_system_score_gemma":0.001085882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380829,"about_ca_topic_score_gemma":0.00158221,"domain_scores_codex":[0.9979002,0.000398775,0.0001283504,0.001010674,0.0004116411,0.000150365],"domain_scores_gemma":[0.9979759,0.0008089287,0.0003435798,0.0003645601,0.0003994005,0.0001076518],"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":[0.002213093,0.0004944575,0.01121244,0.0008243587,0.0006424498,0.0003772692,0.0005403681,0.06193132,0.4054639,0.005488217,0.01755014,0.493262],"study_design_scores_gemma":[0.0001098154,0.0003979812,0.01193513,0.00006987566,0.0001415015,0.0005306826,0.0001553794,0.6541028,0.298158,0.008877486,0.02527692,0.0002445377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0897954,0.0009444797,0.8808555,0.0002341263,0.0001487519,0.0001006692,0.001591775,0.02426323,0.002065987],"genre_scores_gemma":[0.226591,0.000381386,0.7571184,0.0002656519,0.0000709329,0.0003341027,0.00484561,0.00755141,0.002841352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003569766,"threshold_uncertainty_score":0.01887894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090553727997955,"score_gpt":0.2396969798800152,"score_spread":0.2287914426000356,"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."}}