{"id":"W4321616860","doi":"10.3390/biom13030420","title":"LC-MS/MS-Based Proteomics Approach for the Identification of Candidate Serum Biomarkers in Patients with Narcolepsy Type 1","year":2023,"lang":"en","type":"article","venue":"Biomolecules","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Restaurants Canada; Ministero della Salute; Welch Foundation; National Institutes of Health; CH Foundation","keywords":"Narcolepsy; Proteome; Proteomics; Biomarker; Shotgun proteomics; Biology; Transcriptome; Candidate gene; Bioinformatics; Medicine; Gene; Genetics; Gene expression; Neurology; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053847,0.0004075461,0.0004332559,0.0009809616,0.0002919919,0.0003511638,0.0001724323,0.0002416688,0.0005341603],"category_scores_gemma":[0.0003909649,0.0001322171,0.0002607611,0.0004770083,0.0001768881,0.0001179901,0.0002692175,0.0002593382,0.0002091707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225703,"about_ca_system_score_gemma":0.0002250096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008049902,"about_ca_topic_score_gemma":0.001193183,"domain_scores_codex":[0.9998455,0.00003449183,0.00001880936,0.00004003649,0.00004286826,0.00001814308],"domain_scores_gemma":[0.9999068,0.00001882059,0.00001986197,0.000006280748,0.00003319459,0.00001503832],"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":[0.002288466,0.0001594164,0.08433801,0.000503431,0.000249335,0.001167436,0.0002446235,0.000406594,0.8820829,0.0001027621,0.0005540869,0.02790305],"study_design_scores_gemma":[0.0001397872,0.002285656,0.612654,0.0001259274,0.0006643946,0.01015832,0.0005303021,0.01057311,0.3551761,0.0003879277,0.007244586,0.00005989071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884962,0.006373901,0.003480882,0.0001720605,0.00004840894,0.0001101862,0.0005653438,0.00009330321,0.0006597479],"genre_scores_gemma":[0.9911272,0.001672461,0.005708388,0.0002061935,0.00002392309,0.00006363467,0.0006026042,0.00001330599,0.0005823344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009809616,"threshold_uncertainty_score":0.001786888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175378328869335,"score_gpt":0.2882973570726516,"score_spread":0.2565435737839582,"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."}}