{"id":"W4407498173","doi":"10.1038/s41598-025-89629-2","title":"Pan-serological antibodies and liver cancer risk: a nested case-control analysis","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Liver cancer; Serology; Cancer; Odds ratio; Hepatocellular carcinoma; Internal medicine; Nested case-control study; Prospective cohort study; Hepatitis C virus; Antibody; Case-control study; Immunology; Cancer screening; Logistic regression; Gastroenterology; Oncology; Virus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00668627,0.0006729253,0.001114135,0.0007330093,0.001059178,0.0008390365,0.001046041,0.0006828393,0.001378428],"category_scores_gemma":[0.009996676,0.0008821561,0.001780288,0.0006588701,0.0007015317,0.0002913676,0.0007910395,0.0008227598,0.0002137862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632254,"about_ca_system_score_gemma":0.0007770453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111145,"about_ca_topic_score_gemma":0.01021462,"domain_scores_codex":[0.9956641,0.001936325,0.0002575366,0.001435821,0.0004766869,0.0002295602],"domain_scores_gemma":[0.9946004,0.002027603,0.0005978305,0.001729805,0.0006572887,0.0003871016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006730726,0.001145594,0.9618184,0.0001880467,0.006643901,0.001222386,0.001316295,0.001207446,0.01200834,0.0007490455,0.000595261,0.006374591],"study_design_scores_gemma":[0.001398665,0.004648884,0.953761,0.00009238737,0.007329271,0.003787187,0.0005769155,0.02109098,0.002643236,0.0009149369,0.003687041,0.00006953801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907975,0.0008602062,0.007380071,0.00005207366,0.00002746804,0.0001815657,0.0003562558,0.00002986363,0.0003148438],"genre_scores_gemma":[0.9956862,0.0001156732,0.003373961,0.00003108781,0.00001342071,0.0001261399,0.0004449409,0.00001130655,0.0001974154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111145,"threshold_uncertainty_score":0.03536081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760159562145153,"score_gpt":0.2580415768946787,"score_spread":0.2404399812732271,"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."}}