{"id":"W2970454867","doi":"10.1089/dna.2019.4869","title":"Identifying Hepatocellular Carcinoma Driver Genes by Integrative Pathway Crosstalk and Protein Interaction Network","year":2019,"lang":"en","type":"article","venue":"DNA and Cell Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crosstalk; Gene; Biology; Carcinogenesis; Hepatocellular carcinoma; Interaction network; Cancer research; Bioinformatics; Computational biology; Signal transduction; Pathogenesis; Disease; Genetics; Immunology; Medicine; Pathology","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":[0.0004420583,0.0006127779,0.0004212489,0.007608663,0.0004337714,0.0005594307,0.0003438401,0.0002635228,0.001485389],"category_scores_gemma":[0.001185852,0.0001825627,0.0006922662,0.00481088,0.000145115,0.0006932453,0.0005511196,0.000188143,0.0003163947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004230679,"about_ca_system_score_gemma":0.000798287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530771,"about_ca_topic_score_gemma":0.002951316,"domain_scores_codex":[0.9995399,0.00007573757,0.00005691459,0.0001522198,0.0001291691,0.00004609141],"domain_scores_gemma":[0.9994868,0.0002170276,0.000154957,0.00002093706,0.00008386195,0.0000362868],"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":[0.00108769,0.000418118,0.4566784,0.00475167,0.00181559,0.003430914,0.0005831889,0.02124598,0.1879628,0.005130245,0.003956686,0.3129387],"study_design_scores_gemma":[0.0001096949,0.0006374497,0.7125301,0.0003718803,0.00278113,0.006945602,0.0008027369,0.1840382,0.04917637,0.01229545,0.03016131,0.0001499811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029951,0.00980786,0.06332327,0.000402132,0.00003753804,0.0002404723,0.01846008,0.0007058672,0.00402754],"genre_scores_gemma":[0.9308191,0.004039896,0.04421731,0.00008815539,0.00004730676,0.000217805,0.01912523,0.00004947466,0.001395691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007608663,"threshold_uncertainty_score":0.00496906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005925694190308856,"score_gpt":0.2067909891780249,"score_spread":0.200865294987716,"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."}}