{"id":"W3202226636","doi":"10.3390/biology10100957","title":"Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics Analysis","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biology; Liver cancer; Identification (biology); Gene; Computational biology; Key (lock); Bioinformatics; Cancer; Genetics; Ecology","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":[0.0007350995,0.0007756249,0.00114343,0.003772816,0.0004430792,0.000816442,0.0004859561,0.0002585888,0.001451132],"category_scores_gemma":[0.00115972,0.0002149304,0.001297082,0.003231449,0.0001712166,0.0003150798,0.0006031694,0.0003290002,0.0004329429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054713,"about_ca_system_score_gemma":0.001156718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00382075,"about_ca_topic_score_gemma":0.004940723,"domain_scores_codex":[0.9995721,0.00006779902,0.00003129134,0.000142413,0.0001019855,0.00008437057],"domain_scores_gemma":[0.9996196,0.0001142533,0.00006939431,0.00001937089,0.0001308705,0.00004655299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003776272,0.0009949057,0.420776,0.002576758,0.003103897,0.001789381,0.0003889239,0.1044888,0.1471169,0.003482857,0.01429999,0.2972054],"study_design_scores_gemma":[0.0002299524,0.0008194293,0.2696534,0.0001205043,0.002350777,0.0009668902,0.0002578729,0.6835678,0.02468915,0.006862654,0.01034941,0.0001322531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318832,0.005538363,0.1272819,0.0005670578,0.0001251798,0.0004840326,0.02670437,0.004098188,0.003317666],"genre_scores_gemma":[0.9035017,0.001463202,0.0651525,0.0001503771,0.00006475868,0.0004362959,0.0277131,0.0001548243,0.001363185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00382075,"threshold_uncertainty_score":0.007597029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007448343119748847,"score_gpt":0.2507936623405367,"score_spread":0.2433453192207878,"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."}}