{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006077181,0.0008842693,0.001373691,0.002132619,0.0001931102,0.0007619112,0.0005267499,0.0009300201,0.001221159],"category_scores_gemma":[0.0007602075,0.0002288588,0.0005109609,0.001531666,0.0004498923,0.0007900628,0.0005772507,0.001170516,0.001323798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004744206,"about_ca_system_score_gemma":0.0007153238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007938547,"about_ca_topic_score_gemma":0.0009826785,"domain_scores_codex":[0.9997212,0.00005486049,0.00004312596,0.00004861752,0.0001083258,0.00002380382],"domain_scores_gemma":[0.9997386,0.0001078728,0.00004378435,0.000008911327,0.00008165535,0.00001916456],"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":[0.00007857627,0.0000537241,0.0009347859,0.009064987,0.0001089015,0.0003160755,0.00006268459,0.0002763651,0.0046758,0.002802341,0.01569952,0.9659262],"study_design_scores_gemma":[0.00001877396,0.0001565847,0.005361381,0.003347797,0.0002161812,0.004297961,0.0001112821,0.0002721261,0.004301309,0.00262218,0.9792402,0.0000542781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002319699,0.9980166,0.0003160674,0.0002422927,0.0002021734,0.000005571496,0.00002323594,0.000008963672,0.0009530694],"genre_scores_gemma":[0.002082311,0.9963163,0.0004113953,0.0001711357,0.0001898726,0.00001374029,0.0000506714,0.000002051344,0.0007624148],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002132619,"threshold_uncertainty_score":0.004085183,"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."}}