{"id":"W2789604573","doi":"10.21037/jtd.2018.02.84","title":"Gene methylation in liquid biopsy and risk of recurrence in lung cancer","year":2018,"lang":"en","type":"letter","venue":"Journal of Thoracic Disease","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"Associazione Italiana per la Ricerca sul Cancro","keywords":"Medicine; Lung cancer; Liquid biopsy; Methylation; DNA methylation; Gene; Biopsy; Oncology; Cancer; Internal medicine; Pathology; Bioinformatics; Cancer research; Genetics; Gene expression; Biology","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":[0.000434018,0.0001725378,0.0003778567,0.000396128,0.0003946426,0.0004273274,0.0002972996,0.002923236,0.001291747],"category_scores_gemma":[0.002923387,0.0001376701,0.0001740891,0.0002887496,0.0002501286,0.0003809918,0.0001429502,0.001859111,0.0006090997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181925,"about_ca_system_score_gemma":0.0001738897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115406,"about_ca_topic_score_gemma":0.001514177,"domain_scores_codex":[0.9997715,0.0000678381,0.00002203394,0.00003478777,0.0000746892,0.00002902688],"domain_scores_gemma":[0.9992874,0.0003361011,0.00006150609,0.0000393995,0.0001588849,0.0001166944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003684266,0.0004721784,0.4938444,0.0002205967,0.000186975,0.04781605,0.0005726064,0.0005910249,0.02361187,0.002183308,0.2331155,0.1937015],"study_design_scores_gemma":[0.0004749208,0.002087531,0.5978591,0.0004992558,0.0004300547,0.14637,0.001221917,0.01203113,0.0189573,0.01342608,0.206475,0.000167638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4730656,0.02114349,0.00180906,0.4748598,0.01018349,0.00005884804,0.0007888708,0.0002243792,0.01786646],"genre_scores_gemma":[0.9279132,0.00490675,0.0009126723,0.04569387,0.0136067,0.00003421593,0.0002332439,0.00002803769,0.006671407],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.002923236,"threshold_uncertainty_score":0.004321337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371703908737472,"score_gpt":0.3347916373490664,"score_spread":0.3210745982616917,"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."}}