{"id":"W2913462228","doi":"10.1016/j.ebiom.2019.02.007","title":"Hepatocellular carcinoma: H-Prune gene regulatory networks","year":2019,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Hepatocellular carcinoma; Epigenomics; Transcriptome; Liver cancer; Medicine; Cancer; Hepatitis B virus; Hepatitis C virus; Cancer research; Bioinformatics; Internal medicine; Oncology; Biology; DNA methylation; Gene; Virus; Genetics; Virology; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.000519152,0.001249554,0.00231042,0.0008633147,0.0001538067,0.00004433587,0.0004426471,0.00251021,0.001526113],"category_scores_gemma":[0.00005713629,0.00102133,0.0008457414,0.0007951358,0.0003992113,0.00008964464,0.0001868485,0.003112965,0.001142543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913708,"about_ca_system_score_gemma":0.0004343808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001578629,"about_ca_topic_score_gemma":7.252274e-7,"domain_scores_codex":[0.9943427,0.0001961821,0.001093038,0.001488373,0.001462713,0.001416987],"domain_scores_gemma":[0.9963045,0.0002300572,0.0004592471,0.002326102,0.0002979537,0.0003822061],"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":[0.0001008933,0.0001008597,0.2235329,0.0005679788,0.000493466,0.01578926,0.00006134382,3.074181e-7,0.000750667,0.000003965326,0.7572346,0.001363768],"study_design_scores_gemma":[0.005251416,0.001350625,0.01520668,0.0008068589,0.002755753,0.001184217,0.00001558995,0.006384385,0.002052896,0.00002398614,0.963907,0.001060607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1814342,0.03566097,0.0007148697,0.7620413,0.005305576,0.005056349,0.0001558871,0.0007133702,0.008917528],"genre_scores_gemma":[0.4965411,0.0003484411,0.0004311869,0.4293234,0.02138226,0.0001592045,0.01103589,0.0003757322,0.04040277],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3327179,"threshold_uncertainty_score":0.9996352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958757401207608,"score_gpt":0.2272302682362733,"score_spread":0.1876426942241972,"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."}}