{"id":"W4413257832","doi":"10.1021/acs.jproteome.5c00557","title":"PSManalyst: A Dashboard for Visual Quality Control of FragPipe Results","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Visualization; Dashboard; Data mining; Quality (philosophy); Database","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":[0.0147013,0.004024444,0.002628221,0.004990664,0.001602724,0.005898269,0.005653209,0.00201021,0.1648918],"category_scores_gemma":[0.03544465,0.002092816,0.002510956,0.002950979,0.001247528,0.005806632,0.005986632,0.005797063,0.06222219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746206,"about_ca_system_score_gemma":0.004358444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003782033,"about_ca_topic_score_gemma":0.003996267,"domain_scores_codex":[0.9944792,0.001156541,0.0006489662,0.001127054,0.002175323,0.0004129597],"domain_scores_gemma":[0.9827645,0.008543801,0.001268857,0.002548969,0.003859486,0.001014245],"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":[0.00142242,0.0001163157,0.002258525,0.001796648,0.000279864,0.0006247044,0.0007201586,0.001726704,0.006374392,0.004211709,0.9184274,0.06204107],"study_design_scores_gemma":[0.001166837,0.0002641001,0.006475006,0.001567219,0.0002704131,0.0006533299,0.0004905847,0.05630862,0.05546762,0.03207706,0.8445584,0.0007007095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002646685,0.0005432601,0.118144,0.001487051,0.001342163,0.000448537,0.06011209,0.8094634,0.00581289],"genre_scores_gemma":[0.039702,0.00150475,0.3614681,0.004038735,0.0006901578,0.004169912,0.1239477,0.4442041,0.02027451],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1648918,"threshold_uncertainty_score":0.5516179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07510161923527056,"score_gpt":0.4989221080991573,"score_spread":0.4238204888638867,"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."}}