{"id":"W4389038991","doi":"10.1038/s41598-023-48185-3","title":"Label-free quantitative proteomics analysis for type 2 diabetes mellitus early diagnostic marker discovery using data-independent acquisition mass spectrometry (DIA-MS)","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Jordan University of Science and Technology","keywords":"Receiver operating characteristic; Proteomics; Type 2 Diabetes Mellitus; Cohort; Biomarker; Medicine; Biomarker discovery; Label-free quantification; Quantitative proteomics; Bioinformatics; Diabetes mellitus; Internal medicine; Biology; Endocrinology; Biochemistry","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":[0.00150825,0.0007126331,0.0005438759,0.001146574,0.000316357,0.0009404181,0.0005754587,0.0006890081,0.0009378095],"category_scores_gemma":[0.001468741,0.0003030624,0.0003455716,0.0009321212,0.0004300858,0.0005820928,0.0006888282,0.000785682,0.0006477692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004534324,"about_ca_system_score_gemma":0.0004154164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829914,"about_ca_topic_score_gemma":0.0004997165,"domain_scores_codex":[0.9987115,0.0002712519,0.00007008487,0.000320021,0.0005629016,0.00006419473],"domain_scores_gemma":[0.9991826,0.0002068937,0.0002433875,0.0001063206,0.0002057056,0.00005503053],"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":[0.0004729636,0.0001984779,0.008689705,0.000390788,0.0001091692,0.0001384759,0.00006949301,0.0003782682,0.9521225,0.0005149504,0.0007254976,0.03618972],"study_design_scores_gemma":[0.00008759857,0.000579247,0.03836606,0.0000501613,0.0001531704,0.001299294,0.00007652157,0.02573111,0.9233629,0.001427702,0.008783711,0.00008234266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6892672,0.01394774,0.2856807,0.0006907835,0.0004423245,0.0004229539,0.003467871,0.001645965,0.004434565],"genre_scores_gemma":[0.7883223,0.005246683,0.1973021,0.0007328413,0.0001569808,0.0006686735,0.002435145,0.0001644167,0.004970961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150825,"threshold_uncertainty_score":0.007976472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194759933992364,"score_gpt":0.310645500906817,"score_spread":0.2686979015668933,"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."}}