{"id":"W4407802487","doi":"10.1089/ipm.12.01.08","title":"Population Proteomics: A New Frontier for Precision Medicine","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Frontier; Proteomics; Population; Precision medicine; Data science; Computer science; Computational biology; Geography; Medicine; Biology; Environmental health; Pathology; Archaeology; Genetics","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":[0.008741727,0.001628263,0.003102592,0.003298366,0.001283505,0.007163775,0.00255061,0.004105823,0.005776228],"category_scores_gemma":[0.008651585,0.0006821468,0.001059536,0.002680192,0.006295349,0.01085505,0.00419121,0.00865832,0.002807351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209635,"about_ca_system_score_gemma":0.003222951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007026554,"about_ca_topic_score_gemma":0.0006158067,"domain_scores_codex":[0.9958209,0.001437078,0.0001234315,0.0008204818,0.001577266,0.0002207177],"domain_scores_gemma":[0.9929502,0.004091482,0.0004487053,0.0008969653,0.001059341,0.0005533452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002599766,0.0001713505,0.002404868,0.00252979,0.0002238138,0.0002788623,0.0004105433,0.001845574,0.02823581,0.5847067,0.05230863,0.3266241],"study_design_scores_gemma":[0.00005962135,0.0003346527,0.001451495,0.0005843699,0.00008135746,0.0009460055,0.0002849332,0.006111031,0.01135099,0.6734835,0.3051537,0.0001584167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007051676,0.4116884,0.4899988,0.05410999,0.008309403,0.000122899,0.000751494,0.001610768,0.02635659],"genre_scores_gemma":[0.1733041,0.4011087,0.3331176,0.03581297,0.03807411,0.0004101306,0.0008830118,0.0007750507,0.01651451],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008741727,"threshold_uncertainty_score":0.04623121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338491293431872,"score_gpt":0.3440043028622636,"score_spread":0.3206193899279449,"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."}}