{"id":"W2951283945","doi":"10.1101/418400","title":"RawTools: Rapid and Dynamic Interrogation of Orbitrap Data Files for Mass Spectrometer System Management","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Michael Smith Genome Sciences Centre","keywords":"Orbitrap; Computer science; Raw data; Software; Database; Data extraction; Data mining; Mass spectrometry; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006622441,0.004604912,0.001462216,0.005047426,0.001374246,0.004510394,0.004276923,0.001137902,0.05545073],"category_scores_gemma":[0.01406267,0.002102996,0.001385366,0.003034024,0.000970587,0.004270398,0.003587091,0.003334274,0.03216621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156958,"about_ca_system_score_gemma":0.003010933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877333,"about_ca_topic_score_gemma":0.002289487,"domain_scores_codex":[0.9964329,0.0005227114,0.0004875741,0.0007358654,0.001456141,0.0003647346],"domain_scores_gemma":[0.9896787,0.003789485,0.001466339,0.00243696,0.002210306,0.0004181836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002369092,0.0003119234,0.004742323,0.002332085,0.0004193729,0.001143482,0.001138243,0.002481832,0.04622952,0.006812982,0.712619,0.2194002],"study_design_scores_gemma":[0.0006639262,0.0004577597,0.01268559,0.001173783,0.0001766268,0.001451143,0.0005825761,0.0592086,0.2922459,0.01927281,0.6110933,0.0009879027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004070156,0.0002954473,0.1564579,0.000304008,0.0002422813,0.0007025374,0.03265347,0.8008869,0.004387359],"genre_scores_gemma":[0.0643794,0.000995043,0.4806463,0.002223082,0.0004845898,0.004074089,0.1238678,0.3066489,0.01668075],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05545073,"threshold_uncertainty_score":0.1855012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997164027595072,"score_gpt":0.2577651134327186,"score_spread":0.2377934731567679,"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."}}