{"id":"W2471394863","doi":"10.4137/bic.s34413","title":"Tissue- and Serum-Associated Biomarkers of Hepatocellular Carcinoma","year":2016,"lang":"en","type":"review","venue":"Biomarkers in Cancer","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Memorial University of Newfoundland","funders":"","keywords":"Hepatocellular carcinoma; Biomarker; Biomarker discovery; Medicine; Drug development; Cancer; Transcriptome; Proteomics; Disease; Bioinformatics; Cancer biomarkers; Computational biology; Drug; Cancer research; Biology; Internal medicine; Gene; Gene expression; Pharmacology","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"],"consensus_categories":[],"category_scores_codex":[0.0003591663,0.0003953071,0.0008315739,0.0002033191,0.00002848249,0.00001301843,0.0002504855,0.0007155786,0.0001016278],"category_scores_gemma":[0.0001038068,0.0003323589,0.0002377044,0.0002730093,0.0001424784,0.000004137034,0.0001765481,0.00007746909,0.000004939865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202974,"about_ca_system_score_gemma":0.0004441948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001285064,"about_ca_topic_score_gemma":0.00005880286,"domain_scores_codex":[0.9980159,0.0002306424,0.0005972163,0.0006200495,0.0001880055,0.0003481166],"domain_scores_gemma":[0.9987312,0.00004438159,0.0005742503,0.0004599411,0.00008089004,0.0001093468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008204179,0.00007576893,0.0173323,0.00844341,0.001989261,0.00001950139,0.00001119773,1.303011e-7,0.01492189,0.00000420282,0.006057269,0.951063],"study_design_scores_gemma":[0.0006543341,0.00006246694,0.001537911,0.006664084,0.0003712227,0.000007980085,0.000004543479,0.000004972342,0.005303145,0.000007677599,0.9848879,0.0004937405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01359054,0.9845577,0.00001026445,0.00002113854,0.0002886276,0.000699456,0.0006324393,0.000008995729,0.0001907945],"genre_scores_gemma":[0.01222335,0.9868634,0.00004769918,0.00001157185,0.0001077148,0.000134191,0.0002034628,0.00007224717,0.0003363687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9788306,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461771047647755,"score_gpt":0.3097309309749277,"score_spread":0.2851132204984502,"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."}}