{"id":"W4407426323","doi":"10.3389/fmolb.2025.1567250","title":"Editorial: Omics in endocrinology: from biomarker discovery to targeting therapeutic strategies","year":2025,"lang":"en","type":"editorial","venue":"Frontiers in Molecular Biosciences","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Omics; Biomarker discovery; Biomarker; Computational biology; Medicine; Bioinformatics; Biology; Proteomics; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007413203,0.003871827,0.004697743,0.003938468,0.002623036,0.008544678,0.004050883,0.01498134,0.02219337],"category_scores_gemma":[0.02863136,0.00126136,0.003883833,0.001791115,0.003479928,0.007880721,0.002426512,0.02037364,0.01251232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003314189,"about_ca_system_score_gemma":0.002969109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142639,"about_ca_topic_score_gemma":0.002315036,"domain_scores_codex":[0.9958904,0.0007689525,0.0006138519,0.0008099693,0.001554647,0.0003620832],"domain_scores_gemma":[0.9754516,0.01246675,0.001315405,0.0006146934,0.006908809,0.003242724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007414435,0.00001747843,0.00005581257,0.0003662389,0.00002967878,0.0001025062,0.00002085225,0.00004750019,0.00008373835,0.0005330185,0.9880001,0.01066899],"study_design_scores_gemma":[0.00008244273,0.00006245143,0.0003927246,0.001118913,0.00008209601,0.0004460749,0.0000639684,0.0001683528,0.0001208279,0.002629113,0.9947955,0.00003755699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006983921,0.01576908,0.0002622543,0.05228863,0.9303761,0.00002497052,0.0001302978,0.0001090071,0.0009698203],"genre_scores_gemma":[0.000414135,0.009203786,0.0001618903,0.02511888,0.9616674,0.00002127971,0.00006105132,0.00004395692,0.003307595],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02219337,"threshold_uncertainty_score":0.0742442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005096331858147863,"score_gpt":0.2543734522426714,"score_spread":0.2492771203845236,"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."}}