{"id":"W4414309369","doi":"10.1016/j.neo.2025.101229","title":"Proteomic analysis uncovers biological diversity in molecularly defined endometrial carcinomas","year":2025,"lang":"en","type":"article","venue":"Neoplasia","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Terry Fox Research Institute; Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Spinal Cord Injury BC","funders":"Canadian Cancer Society Research Institute; BC Cancer Foundation; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Endometrial cancer; Replicate; Gene expression profiling; Proteome; Biopsy; Molecular biomarkers; Proteomics; Profiling (computer programming)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001606075,0.0001574816,0.0005567648,0.001020756,0.00008175646,0.00001474461,0.0001180771,0.0001510802,0.0002439054],"category_scores_gemma":[0.0004624099,0.0001210733,0.000319631,0.00429082,0.00005034759,0.00003863622,0.0001849082,0.0001877172,0.00003009078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585131,"about_ca_system_score_gemma":0.0001215903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780696,"about_ca_topic_score_gemma":0.000177518,"domain_scores_codex":[0.9987939,0.00008593188,0.0002447572,0.0003704118,0.0002382651,0.0002667097],"domain_scores_gemma":[0.9993992,0.0001649419,0.00005022433,0.0002288713,0.00004757876,0.0001091609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002236061,0.0002146247,0.9930273,0.00001811973,0.0007246648,0.0001573047,0.0000414889,0.00001724605,0.001251305,0.0002955571,0.00005517155,0.001961167],"study_design_scores_gemma":[0.01246323,0.0004779169,0.981039,0.00002009073,0.001060286,0.000003201369,0.00003185772,0.00003598177,0.004011003,0.0004070014,0.0003373676,0.0001130171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895671,0.0002240745,0.0003696206,0.0004013452,0.0001874603,0.0005701694,0.00001923461,0.00004326515,0.008617735],"genre_scores_gemma":[0.9985414,0.00004140129,0.0005135999,0.0003828443,0.0000448749,0.00003638237,0.00005289339,0.000004443867,0.000382206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198825,"threshold_uncertainty_score":0.4937228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025160748474135,"score_gpt":0.2842436826549769,"score_spread":0.2539920751702355,"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."}}