{"id":"W4407764510","doi":"10.1016/j.semcancer.2025.02.009","title":"Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer","year":2025,"lang":"en","type":"review","venue":"Seminars in Cancer Biology","topic":"AI in cancer detection","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Biomarker; Pancreatic ductal adenocarcinoma; Pancreatic cancer; Omics; Biomarker discovery; Medicine; Disease; Population; Cancer; Bioinformatics; Internal medicine; Biology; Proteomics; Environmental health; Gene","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":[0.002185174,0.001150439,0.001776239,0.004426253,0.000369918,0.002141675,0.001157873,0.002263151,0.00284652],"category_scores_gemma":[0.003737044,0.000368489,0.001006712,0.004268695,0.001389636,0.002847497,0.001290184,0.003547061,0.001993343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519221,"about_ca_system_score_gemma":0.00200748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152102,"about_ca_topic_score_gemma":0.001725931,"domain_scores_codex":[0.999206,0.0002873694,0.00008930058,0.0001085592,0.0002599044,0.0000488997],"domain_scores_gemma":[0.9968873,0.002341658,0.0001788636,0.0001000779,0.000399964,0.00009217719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005266971,0.00006598391,0.0003489783,0.02151265,0.0002834972,0.0001997041,0.0001317668,0.0008274102,0.001050681,0.0304828,0.03119905,0.9138448],"study_design_scores_gemma":[0.00001599208,0.000101681,0.001181778,0.01219354,0.0001960288,0.0008637541,0.0001314067,0.0004509134,0.0006590746,0.03434733,0.9498059,0.00005265684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007437832,0.9965401,0.0007018194,0.001248956,0.0003284415,0.000007451154,0.00001945132,0.00001259376,0.001066862],"genre_scores_gemma":[0.0008568338,0.9969337,0.0008094877,0.0006581462,0.0003304025,0.00001590706,0.00002778403,0.00000355624,0.0003641431],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004426253,"threshold_uncertainty_score":0.01155651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149028492997009,"score_gpt":0.3745916745409362,"score_spread":0.3231013896109661,"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."}}