{"id":"W4361007288","doi":"10.3390/v15040853","title":"The EBV Gastric Cancer Resource (EBV-GCR): A Suite of Tools for Investigating EBV-Associated Human Gastric Carcinogenesis","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Ontario Institute for Cancer Research; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Biology; Carcinogenesis; Epigenomics; Epstein–Barr virus; Cancer; Cancer research; Population; Reprogramming; Transcriptome; DNA methylation; Virus; Gene; Computational biology; Immunology; Gene expression; Genetics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002075237,0.001725293,0.001721454,0.00599077,0.0008817755,0.001852374,0.002266194,0.001229488,0.01737752],"category_scores_gemma":[0.006046424,0.000879411,0.00159888,0.0048296,0.0002729003,0.00111804,0.004234206,0.001363946,0.01182287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006047534,"about_ca_system_score_gemma":0.002045616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005972393,"about_ca_topic_score_gemma":0.01411919,"domain_scores_codex":[0.9989618,0.0002112,0.0001146723,0.0002512094,0.0003590753,0.000102007],"domain_scores_gemma":[0.9976959,0.0008630743,0.0002838638,0.000466667,0.0003226516,0.0003677828],"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":[0.002156925,0.0003561109,0.03735007,0.009551491,0.002210256,0.001532044,0.0008485657,0.00592011,0.028828,0.005608321,0.7459083,0.1597299],"study_design_scores_gemma":[0.001103302,0.0003126643,0.06222794,0.001845216,0.001296152,0.002343538,0.0003863304,0.02300007,0.02444346,0.01426363,0.8683584,0.000419249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01762573,0.007429946,0.02834536,0.0005509998,0.0002943354,0.0006325566,0.8769559,0.05814761,0.01001761],"genre_scores_gemma":[0.02845349,0.004086351,0.07527354,0.0005492677,0.0001083999,0.001353648,0.8807678,0.006277068,0.003130424],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01737752,"threshold_uncertainty_score":0.0581336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08343206011575251,"score_gpt":0.3332060964998414,"score_spread":0.2497740363840889,"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."}}