{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004948913,0.0002956271,0.000563552,0.000256982,0.0002095883,0.0000161694,0.0004184415,0.0002707102,0.0007608121],"category_scores_gemma":[0.001808465,0.0002263391,0.00009060631,0.0003663295,0.0001102076,0.0001498355,0.0001320722,0.0003027552,0.000009710662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791338,"about_ca_system_score_gemma":0.00008170106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004234988,"about_ca_topic_score_gemma":0.00003460981,"domain_scores_codex":[0.9977804,0.00002028832,0.0009023274,0.0006309166,0.0003680155,0.0002980233],"domain_scores_gemma":[0.9979052,0.0005292301,0.0003052206,0.0008505599,0.0002396212,0.0001701595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006987052,0.00008026417,0.0014463,0.0001962246,0.00005157275,0.000001945501,0.0003370099,0.0001142344,0.3015057,0.01299635,0.1721808,0.5103909],"study_design_scores_gemma":[0.003975172,0.0001970439,0.000825949,0.002413061,0.0001288625,0.000008524544,0.0001530534,0.00328199,0.1051415,0.6068976,0.276633,0.0003442448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02338477,0.001334531,0.9468741,0.01150113,0.0003368774,0.001707483,0.00001928017,0.0003595624,0.01448222],"genre_scores_gemma":[0.2776761,0.0009164432,0.6785333,0.002123524,0.002313828,0.001713937,0.0005968128,0.00011696,0.03600914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5939012,"threshold_uncertainty_score":0.9229841,"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."}}