{"id":"W4313006958","doi":"10.56588/iabcd.v1i1.27","title":"GENOMIC, EPIGENOMIC AND PROTEOMIC LANDSCAPING OF HEPATOCELLULAR CARCINOMA","year":2022,"lang":"en","type":"article","venue":"International Association of Biologicals and Computational Digest","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Hepatocellular carcinoma; Epigenetics; Malignancy; Epigenomics; Medicine; Cancer; Metastasis; Carcinogenesis; Disease; Bioinformatics; Oncology; Internal medicine; Biology; DNA methylation; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002591358,0.00006788607,0.0002014344,0.00007456705,0.00007160651,0.000008359071,0.00005782969,0.00003649751,0.000148665],"category_scores_gemma":[0.00004675239,0.00006031532,0.00005625039,0.00005516026,0.00003306069,0.00002481069,0.0001003674,0.00007816152,8.101002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190532,"about_ca_system_score_gemma":0.00004489221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003744834,"about_ca_topic_score_gemma":5.68086e-7,"domain_scores_codex":[0.9991941,0.00004809122,0.0002937911,0.0001567726,0.0002320378,0.00007516256],"domain_scores_gemma":[0.9993708,0.0001132572,0.0002994328,0.00003421698,0.0001499675,0.00003236691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009219448,0.0001084678,0.9803651,0.0000185548,0.00007922817,0.000001215472,0.0001172895,0.0004046026,0.01557752,0.002235563,0.00006064085,0.0009396398],"study_design_scores_gemma":[0.0007374394,0.0002872308,0.990929,0.00001170832,0.00002179328,0.00001163915,0.00009301562,0.004770606,0.0008955362,0.001249393,0.0009298165,0.0000628108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970332,0.0003589292,0.00007573687,0.001674482,0.00006758442,0.0002022551,0.0001392253,0.000008363932,0.0004402695],"genre_scores_gemma":[0.9989004,0.0001085234,0.0004661713,0.0001859946,0.00004121767,0.00004123585,0.0001463101,0.000004635562,0.0001054879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468198,"threshold_uncertainty_score":0.2459587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724859431305272,"score_gpt":0.2468293082716096,"score_spread":0.2295807139585568,"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."}}