{"id":"W4392356397","doi":"10.1158/1557-3265.endo24-pr002","title":"Abstract PR002: Proteomic profiling of endometrial carcinomas","year":2024,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia; Spinal Cord Injury BC","funders":"","keywords":"Profiling (computer programming); Endometrial cancer; Pathology; Medicine; Biology; Oncology; Cancer research; Internal medicine; Cancer; Computer science","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":[0.0003466433,0.0003012189,0.0002984896,0.001255939,0.0002596487,0.0004176467,0.0001755001,0.0002401739,0.0009740077],"category_scores_gemma":[0.0006466419,0.0001251837,0.0002538868,0.001193134,0.00014157,0.00019069,0.0003805966,0.0001835716,0.0004761204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526722,"about_ca_system_score_gemma":0.0001708602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006192375,"about_ca_topic_score_gemma":0.0006361897,"domain_scores_codex":[0.9997718,0.00003354278,0.00002705813,0.00006510776,0.00007343681,0.00002909126],"domain_scores_gemma":[0.9998324,0.00003093416,0.00002566102,0.00002066527,0.00006775197,0.00002262295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005765338,0.00004467644,0.05577127,0.0002312525,0.00008357825,0.0003575743,0.0001420996,0.0003500923,0.9260769,0.00006491333,0.0005512621,0.0157499],"study_design_scores_gemma":[0.00002429319,0.000476272,0.7404279,0.00002664404,0.0001396403,0.002810352,0.0004619159,0.003530124,0.2458663,0.0001450251,0.006068902,0.00002249888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923249,0.000979993,0.002816831,0.0000650244,0.00001278082,0.00004243932,0.002530297,0.00006901693,0.001158735],"genre_scores_gemma":[0.9820276,0.0005576579,0.008179369,0.00006624255,0.00001796312,0.00006909822,0.007697298,0.0000364123,0.001348244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001255939,"threshold_uncertainty_score":0.003258348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1807300411545962,"score_gpt":0.5319758282461884,"score_spread":0.3512457870915922,"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."}}