{"id":"W2285064270","doi":"10.1101/018515","title":"SCT promoter methylation is a highly discriminative biomarker for lung and many other cancers","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute; National Key Research and Development Program of China; National Natural Science Foundation of China; Canary Foundation","keywords":"Biomarker; Methylation; Discriminative model; DNA methylation; Cancer research; Lung cancer; Computational biology; Biology; Biomarker discovery; Medicine; Oncology; Genetics; Gene; Computer science; Gene expression; Proteomics; Artificial intelligence","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":[0.0003470029,0.0001978451,0.0003054008,0.0008816183,0.0001681968,0.0003773484,0.0001260846,0.0002464313,0.001541374],"category_scores_gemma":[0.0007112229,0.0001202389,0.0001887138,0.0005283875,0.0002608703,0.0001475161,0.0002992441,0.0002529513,0.0003322842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756955,"about_ca_system_score_gemma":0.0001719525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020957,"about_ca_topic_score_gemma":0.001717386,"domain_scores_codex":[0.9997504,0.0000368988,0.00002121811,0.00008187161,0.00007732776,0.00003220424],"domain_scores_gemma":[0.999539,0.0001179321,0.0001477065,0.00004880296,0.00007499741,0.00007162728],"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":[0.000414724,0.00002397238,0.4454999,0.0001007156,0.0001108158,0.0002475638,0.00007576947,0.0002741135,0.5371283,0.0001051015,0.0003076404,0.01571129],"study_design_scores_gemma":[0.000007813516,0.0001943753,0.895606,0.000009013257,0.00008661515,0.001687557,0.00008879805,0.00130817,0.09919845,0.0002779422,0.001525966,0.000009271368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926527,0.001450156,0.002978571,0.000107794,0.000009960429,0.00001729699,0.001353526,0.0001283546,0.001301716],"genre_scores_gemma":[0.9974685,0.0001926299,0.001093881,0.0000250635,0.000008477097,0.000006056679,0.0007303256,0.00001066111,0.0004645173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001541374,"threshold_uncertainty_score":0.005156398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374082491830013,"score_gpt":0.2739492857159635,"score_spread":0.2502084607976633,"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."}}