{"id":"W3111463752","doi":"10.1039/9781788019958-00191","title":"Applications for Mass Spectrometry-based Proteomics and Phosphoproteomics in Precision Medicine","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO; Centre hospitalier universitaire de Québec","funders":"","keywords":"Phosphoproteomics; Proteomics; Proteome; Computational biology; Precision medicine; Quantitative proteomics; Mass spectrometry; Human disease; Posttranslational modification; Chemistry; Bioinformatics; Biology; Protein phosphorylation; Phosphorylation; Medicine; Chromatography; Biochemistry; Pathology; Protein kinase A","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":[0.001055998,0.001583101,0.0007690035,0.001950742,0.000751673,0.002856036,0.001406399,0.002015317,0.01686668],"category_scores_gemma":[0.0006781501,0.0005878194,0.0006763077,0.002238938,0.001616862,0.00434892,0.00194326,0.003899711,0.01795209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147892,"about_ca_system_score_gemma":0.0006511525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003789795,"about_ca_topic_score_gemma":0.0006976889,"domain_scores_codex":[0.9994727,0.00007482406,0.0000219666,0.0001060667,0.0002966546,0.00002782946],"domain_scores_gemma":[0.9996681,0.0001632711,0.00002115856,0.00002662101,0.00008983152,0.00003097784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008793881,0.00009168815,0.0001368926,0.003169912,0.00004565156,0.0003913869,0.0003931976,0.0009798657,0.03786993,0.2166511,0.185848,0.5543345],"study_design_scores_gemma":[0.00000385327,0.00003195495,0.0001024657,0.0003387502,0.000009237636,0.0007169601,0.00004540078,0.0005760436,0.004280307,0.03395084,0.9599218,0.00002238366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001471399,0.6806772,0.09268663,0.006781638,0.009880964,0.0001397074,0.0003341303,0.001168882,0.2068593],"genre_scores_gemma":[0.01143313,0.5436776,0.1218015,0.006708605,0.004577543,0.0002128729,0.0005156576,0.0006704457,0.3104028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01686668,"threshold_uncertainty_score":0.05642468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647417641116564,"score_gpt":0.2717678529006277,"score_spread":0.255293676489462,"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."}}